{"id":"W2998766662","doi":"10.7554/elife.52157","title":"Open exploration","year":2020,"lang":"en","type":"article","venue":"eLife","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Mental Health; National Institute on Drug Abuse; Social Sciences and Humanities Research Council of Canada; Knut och Alice Wallenbergs Stiftelse; National Science Foundation","keywords":"Open science; Open data; Focus (optics); Open research; Data science; Computer science; Engineering ethics; Political science; Sociology; World Wide Web; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.2912602,0.002234066,0.004183237,0.008785592,0.005492136,0.01828771,0.006240183,0.008388541,0.07323016],"category_scores_gemma":[0.5515122,0.002113537,0.006593472,0.008061446,0.01651772,0.02454431,0.02890734,0.008743403,0.01010152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004510534,"about_ca_system_score_gemma":0.02468162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100766,"about_ca_topic_score_gemma":0.001426282,"domain_scores_codex":[0.6451865,0.291764,0.02159431,0.01477586,0.0235723,0.003107007],"domain_scores_gemma":[0.284794,0.5757161,0.01680818,0.09614366,0.02242863,0.004109367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008151419,0.00009416651,0.001217017,0.01622688,0.0008464704,0.0003460148,0.0134259,0.001070651,0.000525607,0.6931985,0.06263591,0.2095977],"study_design_scores_gemma":[0.0003707001,0.0001107011,0.0004282765,0.01277841,0.000283644,0.0002941125,0.003223727,0.001145092,0.000645339,0.5936612,0.386986,0.00007282912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.006411664,0.02686558,0.6282629,0.09673294,0.01185948,0.009826278,0.003877028,0.003068642,0.2130955],"genre_scores_gemma":[0.2083095,0.01754693,0.6437314,0.04335953,0.00556446,0.04089014,0.00347137,0.002133889,0.03499287],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9937598,"threshold_uncertainty_score":0.8740023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9687226010785637,"score_gpt":0.6272201453176606,"score_spread":0.3415024557609031,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}