{"id":"W4416597369","doi":"10.5256/f1000research.12496.d178727","title":"Dataset 1","year":2017,"lang":"it","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Department for International Development; Department for International Development, UK Government","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.02503431,0.001717416,0.002961169,0.003108519,0.002882314,0.001620708,0.01918666,0.002212591,0.02469574],"category_scores_gemma":[0.01874648,0.001669609,0.0006973723,0.001463843,0.008792705,0.001195849,0.01090462,0.009007468,0.5773154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399689,"about_ca_system_score_gemma":0.004939819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02444207,"about_ca_topic_score_gemma":0.003006594,"domain_scores_codex":[0.9704073,0.004639958,0.002128133,0.00336932,0.01454793,0.004907357],"domain_scores_gemma":[0.9712062,0.001715928,0.002073379,0.01653827,0.006449729,0.00201647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009816679,0.001676965,0.0001000842,0.002820296,0.0009967095,0.0009789575,0.0001142996,0.000005060988,0.001414525,0.00002486443,0.9900865,0.000800101],"study_design_scores_gemma":[0.002284326,0.0009842052,0.001015989,0.002619707,0.0002624739,0.00006476673,0.0002446887,0.00002339525,0.00135695,0.00009018302,0.9896317,0.001421588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001654493,0.0007836281,7.833051e-7,0.002078916,0.0004521808,0.002369106,0.9920307,0.00005624573,0.002062985],"genre_scores_gemma":[0.0001306729,0.001206898,0.0002010051,0.00003481429,0.001155514,0.0001884478,0.9594282,0.0004055729,0.03724891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5526197,"threshold_uncertainty_score":0.9995572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415695157984592,"score_gpt":0.4683021958535886,"score_spread":0.3267326800551294,"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."}}