{"id":"W3048442854","doi":"10.7591/9780801470837-002","title":"Introduction: Why a Toronto Model Workbook?","year":2018,"lang":"en","type":"book-chapter","venue":"Cornell University Press eBooks","topic":"Political Science Research and Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Workbook; Computer science; Library science; Business; Accounting","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":[],"consensus_categories":[],"category_scores_codex":[0.0006663463,0.0009568744,0.0003398115,0.002092818,0.00302887,0.004696571,0.001210804,0.001602888,0.1291479],"category_scores_gemma":[0.002073568,0.0005198863,0.0003678195,0.004111288,0.001591487,0.004543243,0.001512744,0.002831617,0.03067262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02003836,"about_ca_system_score_gemma":0.01291225,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5357408,"about_ca_topic_score_gemma":0.7349193,"domain_scores_codex":[0.9995911,0.00006397906,0.00001701881,0.00005686444,0.0001948195,0.00007626288],"domain_scores_gemma":[0.9992206,0.0001951221,0.00003088007,0.00008091594,0.0003054219,0.000167118],"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":[0.000003845687,0.000004483831,0.00005318532,0.00003287517,7.919996e-7,0.00001400634,0.0002727625,0.0001577012,0.00002162654,0.07837729,0.9050366,0.01602485],"study_design_scores_gemma":[0.000001647627,0.000001852028,0.0001896884,0.0000488865,0.000001341577,0.00001122264,0.0001662711,0.00009700024,0.00002982441,0.007307292,0.9921394,0.000005548716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001267304,0.01860536,0.005968607,0.06171193,0.006505807,0.00007828108,0.004574675,0.0006311107,0.9006568],"genre_scores_gemma":[0.02028471,0.0167523,0.003498682,0.006549552,0.001761369,0.0001098693,0.002506798,0.0007823764,0.9477543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5357408,"threshold_uncertainty_score":0.9339867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08480060351026136,"score_gpt":0.2798982154216447,"score_spread":0.1950976119113834,"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."}}