{"id":"W2529017527","doi":"10.3138/9781442673076","title":"Collected Works of George Grant","year":2005,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Library science; Art; Art history; Computer science","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":[0.001718663,0.0006423165,0.0005398485,0.003879867,0.003742562,0.004448676,0.0007246476,0.001191988,0.03603978],"category_scores_gemma":[0.006773488,0.0002680912,0.0002911757,0.003948652,0.003582588,0.004272985,0.002852366,0.002953851,0.01388291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005539101,"about_ca_system_score_gemma":0.006395526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451693,"about_ca_topic_score_gemma":0.03832516,"domain_scores_codex":[0.9982464,0.0003222836,0.00006150462,0.0002162852,0.001011866,0.0001415866],"domain_scores_gemma":[0.9978817,0.0005396411,0.00009101078,0.0002106002,0.0009968074,0.0002802185],"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":[0.000004676093,0.000005235473,0.00004934407,0.00004529069,0.000001679167,0.00002299124,0.0005481541,0.00002632864,0.00002964415,0.04810209,0.9256341,0.02553051],"study_design_scores_gemma":[4.735102e-7,9.874374e-7,0.00003432667,0.00003780185,4.872587e-7,0.00002051846,0.00008306108,0.000002685403,0.0000101568,0.00169785,0.9981105,0.000001243163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001594753,0.1203168,0.001268199,0.09097249,0.02312541,0.00003969945,0.0007820894,0.0002432236,0.7616573],"genre_scores_gemma":[0.01768601,0.06050681,0.001222823,0.01801206,0.007485868,0.00006654469,0.0004829257,0.000527176,0.8940098],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03603978,"threshold_uncertainty_score":0.1205651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02576540272680888,"score_gpt":0.1729559054340702,"score_spread":0.1471905027072613,"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."}}