{"id":"W4398812274","doi":"10.7910/dvn/qtoiqf/k7onu9","title":"35513-0001-Setup.sps","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002214678,0.004985251,0.002332035,0.004409063,0.001619176,0.004061123,0.005909767,0.004212153,0.1940809],"category_scores_gemma":[0.01012448,0.001379262,0.002152628,0.0055717,0.001153657,0.003442554,0.003693876,0.002647141,0.3243565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329836,"about_ca_system_score_gemma":0.002501528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02472043,"about_ca_topic_score_gemma":0.0423875,"domain_scores_codex":[0.9980769,0.000450642,0.0001495815,0.0006507843,0.0003397008,0.0003323653],"domain_scores_gemma":[0.996622,0.0008960961,0.0001793781,0.001296142,0.0006332084,0.0003731811],"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":[0.00005220066,0.00001734168,0.0001809784,0.0002853253,0.00002241186,0.000008830738,0.00001235619,0.0002000859,0.0000651478,0.000247946,0.9979708,0.0009366142],"study_design_scores_gemma":[0.0006648243,0.00005550534,0.001655925,0.0003098831,0.00004884008,0.00009546096,0.0001041217,0.001364429,0.00076662,0.003310932,0.9915576,0.00006586338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001530157,0.0001018574,0.0001218423,0.0001336292,0.00006882627,0.00001477129,0.9960333,0.002280146,0.001092728],"genre_scores_gemma":[0.0003862428,0.00004395374,0.0002782026,0.00008068309,0.0000144406,0.000058529,0.9980057,0.0003478578,0.0007845288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8059191,"threshold_uncertainty_score":0.6492655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699714452759067,"score_gpt":0.2667151610051595,"score_spread":0.2397180164775689,"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."}}