{"id":"W6987749348","doi":"","title":"Toronto (Canada), 2013","year":2021,"lang":"en","type":"other","venue":"Deep Blue (University of Michigan)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Set (abstract data type); Context (archaeology)","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":[0.00008219761,0.0003773425,0.000679079,0.00015046,0.0000988939,0.000009925802,0.0008479144,0.0004021017,0.07173264],"category_scores_gemma":[0.00001200109,0.0005587749,0.0002113185,0.0002083214,0.0001685851,0.00008907692,0.0003065461,0.0002391389,0.0009034007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003900608,"about_ca_system_score_gemma":0.0007208586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9136781,"about_ca_topic_score_gemma":0.999958,"domain_scores_codex":[0.9981983,0.0001091514,0.0001255717,0.0005804183,0.0005824812,0.0004040995],"domain_scores_gemma":[0.9983615,0.00002960687,0.0004079127,0.0008645065,0.0001069463,0.0002295732],"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":[0.0000384612,0.000103451,0.00001477642,0.0002102108,0.0007250495,0.000425485,0.008623088,0.00001486943,0.0006472644,0.0003580461,0.9882936,0.0005456268],"study_design_scores_gemma":[0.0006489109,0.00001842653,0.0001839918,0.0002297508,0.0001969275,0.00001014863,0.04434272,0.00008256055,0.00002597012,0.000005849185,0.9537391,0.0005156377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02002704,0.01268541,0.0002529038,0.0001510898,0.0007030737,0.0003577567,0.001172296,0.0002622447,0.9643882],"genre_scores_gemma":[0.00181128,0.0006606653,0.002842362,0.00008359868,0.0001949044,1.72237e-7,0.0006883392,0.0007359853,0.9929827],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08627994,"threshold_uncertainty_score":0.9998745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005286157994291683,"score_gpt":0.1662868946686828,"score_spread":0.1610007366743911,"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."}}