{"id":"W7070548394","doi":"","title":"Ontario PublicAccounts 1415 Vol1","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006140841,0.001239091,0.0007891866,0.00369506,0.004209201,0.00397124,0.001437725,0.002073048,0.8042071],"category_scores_gemma":[0.002649658,0.0007376286,0.0006623779,0.006345241,0.0009489707,0.001067326,0.002060123,0.001247767,0.570644],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01109492,"about_ca_system_score_gemma":0.01806073,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5622136,"about_ca_topic_score_gemma":0.7815899,"domain_scores_codex":[0.9990864,0.00004975754,0.00002651302,0.00008348872,0.0005633788,0.0001904143],"domain_scores_gemma":[0.9983653,0.0001755812,0.00007977123,0.0001317334,0.0008677318,0.0003798901],"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":[0.00001272328,0.000007914015,0.00007811441,0.00004933776,8.509277e-7,0.00001530831,0.00001425534,0.00001727076,0.00002854908,0.0005419264,0.9912491,0.007984629],"study_design_scores_gemma":[0.000005317736,0.00000259541,0.0008014227,0.00003339965,8.988489e-7,0.000006539749,0.00002758893,0.00002201888,0.00002860921,0.0001045385,0.9989637,0.000003314629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004969842,0.0009276346,0.00008034231,0.001733115,0.001147385,0.0001129271,0.03206611,0.0004780864,0.9629575],"genre_scores_gemma":[0.0004348577,0.000283085,0.00004797179,0.0002282333,0.00006953019,0.00002242178,0.003386674,0.0001121504,0.995415],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9889051,"threshold_uncertainty_score":0.8807292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004067289663228114,"score_gpt":0.183502356087893,"score_spread":0.1794350664246649,"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."}}