{"id":"W6987356369","doi":"","title":"S2: Toronto vs. Everyone (Live!)","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Front (military); Performance art; George (robot)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008539984,0.0002439775,0.0003388766,0.00004097389,0.0002176801,0.00006922153,0.0004363139,0.0004760122,0.8689436],"category_scores_gemma":[0.0006252406,0.0002481184,0.000150625,0.000008758181,0.0003575535,3.733284e-7,0.00005628305,0.0001730808,0.03905923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625112,"about_ca_system_score_gemma":0.0001538534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1253159,"about_ca_topic_score_gemma":0.04024541,"domain_scores_codex":[0.9980032,0.0003795935,0.0004342908,0.0002002097,0.0006439383,0.0003387255],"domain_scores_gemma":[0.9984965,0.0002282216,0.000555844,0.0002786357,0.0002642075,0.0001765849],"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":[0.00002176495,0.00004105837,0.00001609574,0.00009763604,0.00003800177,0.000001580334,0.0019531,0.000006379855,2.985059e-8,0.000386766,0.9963845,0.001053115],"study_design_scores_gemma":[0.0001599017,0.00008551632,0.00005063831,0.0001742861,0.00003883853,0.000004852951,0.001507302,0.000001379581,5.376489e-7,0.00001352117,0.9976794,0.0002837912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001774369,0.0007330911,0.000001020351,0.0002575744,0.001038917,0.0003211366,0.00002766151,0.000197564,0.9974053],"genre_scores_gemma":[0.00008881694,0.0005752717,0.003983948,0.0002695297,0.001334238,0.0000160972,0.00007202752,0.00008121246,0.9935789],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8298844,"threshold_uncertainty_score":0.9999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01003455921870708,"score_gpt":0.2579737662767557,"score_spread":0.2479392070580486,"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."}}