{"id":"W6986758498","doi":"","title":"Re Health Care Corp of St. John's and NAPE","year":2002,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grievance; Memorandum; Health care; Complaint; Permission; Legislation","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":[],"consensus_categories":[],"category_scores_codex":[0.0001235434,0.0001341428,0.0001789869,0.00002342807,0.0001047826,0.00002374404,0.0001543725,0.0001185735,0.0002102544],"category_scores_gemma":[0.00009156513,0.0001285752,0.00005094425,0.00006021458,0.0001001903,0.000005803353,0.0001146868,0.0001665024,0.00002689815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001552414,"about_ca_system_score_gemma":0.00003173888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001508807,"about_ca_topic_score_gemma":0.000381429,"domain_scores_codex":[0.9991279,0.00005759973,0.0002651529,0.000190974,0.000139412,0.0002189728],"domain_scores_gemma":[0.9992351,0.00001148966,0.0001586768,0.0003799894,0.00006850988,0.0001462571],"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":[0.0005738098,0.0007940633,0.1891557,0.006814404,0.0009060662,0.00005007978,0.01194107,0.001392713,0.05842062,0.03145919,0.5575407,0.1409516],"study_design_scores_gemma":[0.001183342,0.001018403,0.003204966,0.00008536735,0.0000191136,0.00002539701,0.0008672329,0.0005906163,0.007875754,0.00005216606,0.9846902,0.0003873826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014975,0.02197274,0.0004419115,0.001984363,0.0003626471,0.0005722453,0.0001978355,0.00007466497,0.07289611],"genre_scores_gemma":[0.9924131,0.0005152689,0.004024556,0.00182292,0.0001280401,0.000005540282,0.0001211408,0.0000205487,0.0009488987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4271496,"threshold_uncertainty_score":0.5243145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009275837882174504,"score_gpt":0.2508770032194987,"score_spread":0.2416011653373242,"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."}}