{"id":"W4211061249","doi":"10.1017/9781108635806.001","title":"Introduction","year":2019,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Classical Antiquity Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007149878,0.0008722957,0.0004376516,0.001679493,0.001062812,0.0033439,0.001399772,0.001680452,0.5209901],"category_scores_gemma":[0.002104705,0.0002704201,0.0004614229,0.001747873,0.0006583889,0.002355468,0.001536895,0.001648429,0.3461324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601779,"about_ca_system_score_gemma":0.001789659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003326371,"about_ca_topic_score_gemma":0.003301178,"domain_scores_codex":[0.9994479,0.00005934172,0.00002792602,0.000132542,0.0002706326,0.00006172234],"domain_scores_gemma":[0.9992821,0.0001137335,0.00003697967,0.00007580713,0.000357329,0.0001341349],"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":[0.00003362434,0.0000361335,0.000164596,0.0005519074,0.000003093765,0.00006818953,0.0001943694,0.0001396933,0.000424568,0.0312451,0.8079243,0.1592145],"study_design_scores_gemma":[0.000001070109,0.000006251223,0.0001243307,0.0001078654,6.844825e-7,0.00003308133,0.00003133096,0.00000985007,0.00004136425,0.001765408,0.9978769,0.000002018946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001067278,0.01633492,0.005322119,0.009889997,0.01027107,0.0003145087,0.01040838,0.001231055,0.9451607],"genre_scores_gemma":[0.003604368,0.01021363,0.002331331,0.00237826,0.001898608,0.000158131,0.006583621,0.0003213797,0.9725107],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4790099,"threshold_uncertainty_score":0.6832495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808247798923974,"score_gpt":0.2316188067651517,"score_spread":0.2035363287759119,"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."}}