{"id":"W4396686675","doi":"10.29173/mlj1257","title":"Appendix B: Key Events in the Toronto 18","year":2021,"lang":"en","type":"article","venue":"Manitoba Law Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Appendix; Key (lock); Library science; Computer science; Computer security; Geology","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":[0.001048823,0.0008555268,0.0005092208,0.003861606,0.005325275,0.004752416,0.001246274,0.002165024,0.499675],"category_scores_gemma":[0.009443361,0.0006093703,0.0004976158,0.007495472,0.0007619565,0.001580345,0.00187299,0.002227175,0.1478314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02887224,"about_ca_system_score_gemma":0.02733921,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7754139,"about_ca_topic_score_gemma":0.8457692,"domain_scores_codex":[0.9985489,0.0001098999,0.00008654725,0.0001706011,0.000675872,0.0004081812],"domain_scores_gemma":[0.9925398,0.001031837,0.0004414323,0.0003979677,0.004248853,0.001340073],"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":[0.00001925426,0.000004981777,0.0002747588,0.00005535562,0.000001259436,0.000035737,0.00009377539,0.00006047012,0.00002174613,0.004385313,0.9928225,0.002224925],"study_design_scores_gemma":[0.00001649167,0.000006476395,0.005083913,0.0000896102,0.000004523556,0.00002659258,0.000410493,0.0000620074,0.00007605191,0.0007507952,0.9934615,0.00001147559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00246806,0.001316774,0.001155003,0.006043092,0.002701565,0.00144543,0.2306899,0.0005793647,0.7536008],"genre_scores_gemma":[0.02515357,0.001686264,0.001108957,0.002223192,0.0007849912,0.000923214,0.05887122,0.0004350015,0.9088135],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.499675,"threshold_uncertainty_score":0.7136528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05038854778072201,"score_gpt":0.2244155971342811,"score_spread":0.1740270493535591,"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."}}