{"id":"W7075334207","doi":"","title":"Toronto 2014","year":2021,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006745607,0.001522859,0.0008777343,0.002168775,0.003340429,0.006730155,0.001126128,0.001757109,0.7481148],"category_scores_gemma":[0.001769745,0.0006651262,0.0007703757,0.003590584,0.0008999505,0.001887125,0.00251682,0.001975746,0.5595142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008832874,"about_ca_system_score_gemma":0.01236324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2603544,"about_ca_topic_score_gemma":0.5685233,"domain_scores_codex":[0.9992381,0.00006850949,0.00003016852,0.0001274911,0.0003842328,0.000151467],"domain_scores_gemma":[0.9984908,0.0000866319,0.00005772563,0.0001905594,0.0006578095,0.0005164797],"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":[0.0000120631,0.000006450113,0.00008398045,0.00004757973,0.000002731087,0.00002281688,0.00002202996,0.0001169726,0.0000305679,0.002939263,0.977127,0.01958856],"study_design_scores_gemma":[0.000004165741,0.000002995168,0.0003835712,0.0000518809,0.000001824439,0.00001178635,0.00003822449,0.00005520729,0.0000302623,0.0006313869,0.9987851,0.000003655407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004527162,0.003727552,0.0007159083,0.004185928,0.003879448,0.00005715009,0.02249981,0.001017011,0.9634644],"genre_scores_gemma":[0.001075748,0.001181622,0.0002602532,0.0002379597,0.0001787637,0.00002123853,0.003477485,0.0003544801,0.9932123],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7481148,"threshold_uncertainty_score":0.5176779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419648014090454,"score_gpt":0.2165882634980843,"score_spread":0.1923917833571797,"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."}}