{"id":"W6932219031","doi":"10.5683/sp2/y8iean","title":"Ontario Perspectives: Third Quarter 1996","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Government (linguistics); Data collection","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":[],"consensus_categories":[],"category_scores_codex":[0.001687155,0.001657102,0.00139206,0.009912827,0.003462673,0.006276653,0.001997456,0.001245146,0.08399221],"category_scores_gemma":[0.008169916,0.001454629,0.00118673,0.04037309,0.0006283632,0.001835858,0.002203563,0.001633999,0.04855256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03453169,"about_ca_system_score_gemma":0.04863165,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9704701,"about_ca_topic_score_gemma":0.9820884,"domain_scores_codex":[0.9964102,0.0001484372,0.0002618624,0.0003936916,0.00189745,0.0008883277],"domain_scores_gemma":[0.9906778,0.0005154976,0.0008795658,0.0009557439,0.005877628,0.001093693],"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":[0.00003102857,0.000006806705,0.001677301,0.0002167649,0.00001034396,0.0000193513,0.0001105994,0.00005406903,0.00001976219,0.0003907031,0.9947588,0.002704459],"study_design_scores_gemma":[0.00003503231,0.000003442729,0.03058658,0.000201276,0.00001117942,0.00001813638,0.0003016522,0.00008920512,0.00007077458,0.0001568511,0.9685093,0.000016547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003062564,0.000184481,0.00002326376,0.000218703,0.00003139141,0.0000126296,0.9953052,0.00004490908,0.003873176],"genre_scores_gemma":[0.001930458,0.000586225,0.0001743888,0.00008335275,0.00003047177,0.0001307805,0.984037,0.0000682867,0.01295905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08399221,"threshold_uncertainty_score":0.280982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065499844441557,"score_gpt":0.2686511410422583,"score_spread":0.2479961425978428,"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."}}