{"id":"W4239934077","doi":"10.1142/9781786343963_0002","title":"Core Analysis","year":2018,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC (EUROPE) eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal General Hospital","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002579999,0.001394848,0.001650364,0.00712755,0.001287904,0.001676635,0.00262359,0.0003290724,0.02266344],"category_scores_gemma":[0.0001112845,0.001344085,0.001220142,0.001969643,0.004247928,0.0001402646,0.001145627,0.001175389,0.1763602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152197,"about_ca_system_score_gemma":0.0005634233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001828991,"about_ca_topic_score_gemma":0.006081123,"domain_scores_codex":[0.9908069,0.0001305708,0.00142436,0.003486807,0.002809937,0.001341388],"domain_scores_gemma":[0.9905519,0.0001341878,0.001306818,0.005125694,0.002121817,0.0007595748],"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":[0.00008872958,0.0000356325,0.00005608757,0.00005628734,0.002574819,0.0004371146,0.0008200069,0.00001181361,0.003255716,0.1546224,0.8366863,0.001355056],"study_design_scores_gemma":[0.0002969155,0.00004009258,0.00004063225,0.0002044491,0.003689997,0.00001316925,0.000006869554,0.0001428923,0.0004002873,0.00530115,0.9884586,0.001404972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007791184,0.0002146711,0.00002510375,0.00002084523,0.004136541,0.0008213569,0.001352721,0.0009362766,0.9917133],"genre_scores_gemma":[0.003507076,0.000001670256,0.0003608829,0.0002101937,0.0009629596,0.00002197357,0.001126292,0.0007863542,0.9930226],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1536968,"threshold_uncertainty_score":0.9998802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07729336661356406,"score_gpt":0.275776602672317,"score_spread":0.1984832360587529,"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."}}