{"id":"W7100429694","doi":"","title":"has developed a set","year":2016,"lang":"en","type":"article","venue":"","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Multinational corporation; Clinical trial; Set (abstract data type); Health care; MEDLINE; Data set; Data sharing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00002463546,0.00003283783,0.00006330586,0.00001747797,0.00001423037,0.000003860615,0.00001579873,0.00001866822,0.002914093],"category_scores_gemma":[0.00001820891,0.00001488599,0.00002032207,0.0000352918,0.00002126297,0.00001901902,0.000008948804,0.00001573982,0.0003679678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002617092,"about_ca_system_score_gemma":0.00007442581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000120563,"about_ca_topic_score_gemma":0.00007816167,"domain_scores_codex":[0.9997467,0.000001990183,0.00005224,0.00006603779,0.00005689826,0.0000761371],"domain_scores_gemma":[0.9998202,0.00001216942,0.00000752188,0.00008596503,0.00001876355,0.00005539319],"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":[0.0002025549,0.000050142,0.2525899,0.00001995319,0.00006955352,0.00004178613,0.0004455122,1.742046e-8,0.04453468,0.001808913,0.3806656,0.3195715],"study_design_scores_gemma":[0.001068988,0.00006097743,0.1411902,0.00002967225,0.00001070477,0.0000160668,0.00002873377,0.000001857012,0.009199584,0.00009906523,0.8482377,0.00005647178],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270813,0.00004515142,0.002639517,0.01549242,0.0001449097,0.0001158844,0.000006118278,0.00009542498,0.05437925],"genre_scores_gemma":[0.9688515,0.0000215285,0.0004207073,0.0007537278,0.00006104461,0.000002898979,0.000001088132,0.00000474868,0.02988274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4675721,"threshold_uncertainty_score":0.9979974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031436798629401,"score_gpt":0.331374005754872,"score_spread":0.2282303258919319,"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."}}