{"id":"W4398585633","doi":"10.7910/dvn/ktwyz6/d3jq3c","title":"risk_time.png","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001242644,0.0003020322,0.0003009074,0.00004654377,0.00007683568,0.00004420822,0.000751433,0.0006331244,0.002732778],"category_scores_gemma":[0.000537461,0.000277159,0.0001420547,0.00008324091,0.000194339,0.000002016516,0.0007409308,0.0003496238,0.08492424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232021,"about_ca_system_score_gemma":0.0001392168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007764108,"about_ca_topic_score_gemma":0.00004091438,"domain_scores_codex":[0.9985244,0.00007390315,0.0002434215,0.000628132,0.0002186168,0.0003115397],"domain_scores_gemma":[0.9985883,0.00001814255,0.0001362124,0.001019418,0.00003481564,0.0002031045],"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":[0.00006074701,0.0000362102,0.000004518402,0.00005569229,0.0001269991,0.00006855327,0.000003347773,5.694786e-7,0.0006913464,0.000001479258,0.9968077,0.002142827],"study_design_scores_gemma":[0.0003401949,0.0002068359,0.00001469557,0.00002800652,0.0001102339,0.00001878908,0.00002735111,0.000004008036,0.0004836163,0.000004405539,0.9984288,0.0003330972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002127105,0.0000137681,0.0001134677,0.00002083655,0.0004927085,0.000110639,0.9990078,0.0000346239,0.0001849446],"genre_scores_gemma":[0.00001329086,0.001157714,0.001039419,0.001100406,0.0008699177,0.00001660914,0.9953669,0.00002177832,0.0004139279],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08219145,"threshold_uncertainty_score":0.9999681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687033433827518,"score_gpt":0.256107106315645,"score_spread":0.2392367719773699,"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."}}