{"id":"W4411225521","doi":"10.1017/9781108907460.006","title":"Updates from volumes 1 and 2","year":2025,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001216391,0.001339129,0.001108259,0.008705687,0.001342529,0.007446526,0.002023494,0.001697514,0.5783674],"category_scores_gemma":[0.009930894,0.0007079593,0.0007264197,0.01034613,0.000563811,0.005642958,0.002727101,0.00274459,0.446706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00221618,"about_ca_system_score_gemma":0.002484256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00834103,"about_ca_topic_score_gemma":0.01450308,"domain_scores_codex":[0.9980399,0.0001192262,0.0001173697,0.0001966366,0.001396654,0.0001301699],"domain_scores_gemma":[0.9955453,0.0006777584,0.0002268247,0.0005131662,0.002545516,0.0004914636],"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":[0.00001105958,0.000007283732,0.00003560727,0.00009721411,0.000001191123,0.000009653059,0.00001664375,0.00004316533,0.00005440713,0.001556172,0.9662921,0.03187555],"study_design_scores_gemma":[0.000001323985,0.000002513427,0.0001037836,0.00005317072,8.509412e-7,0.00001467456,0.000007548939,0.00001055266,0.0000305945,0.0003228554,0.9994492,0.000002958825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005907523,0.01051582,0.00251265,0.008529019,0.08575528,0.0001686477,0.04164132,0.004457026,0.8458294],"genre_scores_gemma":[0.001528299,0.005513331,0.001884189,0.002203652,0.008151758,0.0001222611,0.02732285,0.002048952,0.9512248],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5783674,"threshold_uncertainty_score":0.6014078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593340210252002,"score_gpt":0.1638138498707824,"score_spread":0.1378804477682624,"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."}}