{"id":"W7062179335","doi":"","title":"Toronto Today's Think Tank - Episode 02","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Subject (documents); Perspective (graphical); Agency (philosophy)","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":[0.0009260133,0.0008884604,0.0003496312,0.0007961459,0.005513906,0.008981158,0.0009118931,0.002699019,0.4246684],"category_scores_gemma":[0.001428709,0.0004048217,0.0003577533,0.001606428,0.0009992108,0.001895348,0.001971796,0.003158743,0.1378024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01212162,"about_ca_system_score_gemma":0.01075172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3862883,"about_ca_topic_score_gemma":0.7491268,"domain_scores_codex":[0.9991918,0.00005451225,0.0000133364,0.00007763552,0.000393424,0.0002692176],"domain_scores_gemma":[0.9988129,0.00005887451,0.00003042899,0.00003854469,0.0003475331,0.0007117008],"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":[0.000008770147,0.000003154884,0.00002975389,0.00001541364,4.538726e-7,0.00002065756,0.00007467404,0.000006851498,0.00003190449,0.0007126351,0.9964762,0.002619485],"study_design_scores_gemma":[0.000002755028,0.000002235541,0.0002295828,0.00002462391,6.4726e-7,0.000005030721,0.0002926571,0.00001049275,0.00003369839,0.000117906,0.9992785,0.000001940176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001254132,0.004973872,0.0003293712,0.04240469,0.01811852,0.00009814026,0.005620127,0.0006388957,0.9265622],"genre_scores_gemma":[0.003025804,0.0008327594,0.00008570315,0.001802511,0.0005959741,0.00001789236,0.001137533,0.0001416703,0.9923602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4246684,"threshold_uncertainty_score":0.8206407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004853271787071714,"score_gpt":0.1818134491832105,"score_spread":0.1769601773961388,"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."}}