{"id":"W4246137571","doi":"10.1080/00987913.2018.1472467","title":"Reports of Conferences, Institutes, and Seminars","year":2018,"lang":"en","type":"article","venue":"Serials Review","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Column (typography); Quarter (Canadian coin); Library science; History; Computer science; Archaeology; Telecommunications","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":[0.01738506,0.001634347,0.001101152,0.01786657,0.002628929,0.01001499,0.002162964,0.003295854,0.07399797],"category_scores_gemma":[0.0333385,0.0008099249,0.001240756,0.01931565,0.0007050256,0.003883543,0.003920316,0.003810559,0.04478072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00497599,"about_ca_system_score_gemma":0.01324223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007065471,"about_ca_topic_score_gemma":0.0110257,"domain_scores_codex":[0.9771211,0.002864881,0.001153049,0.001372683,0.01496832,0.002520016],"domain_scores_gemma":[0.9464741,0.006624723,0.004417744,0.002316245,0.03151279,0.008654448],"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":[0.0002035721,0.00009200352,0.0005951372,0.001904688,0.00004240761,0.00007710787,0.0002822262,0.00006681624,0.0006432906,0.001360467,0.9413999,0.05333241],"study_design_scores_gemma":[0.00003014459,0.00005960683,0.004026325,0.0006695606,0.00002437322,0.00003182404,0.0005699434,0.00002403249,0.0003345853,0.0001715895,0.9940374,0.00002056492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0131165,0.2559132,0.001802873,0.07129522,0.1938793,0.00315484,0.04560798,0.001504946,0.4137251],"genre_scores_gemma":[0.05339696,0.2532397,0.003082251,0.02619399,0.06591287,0.003866138,0.03514323,0.001153807,0.5580111],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07399797,"threshold_uncertainty_score":0.2475479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471522919146399,"score_gpt":0.2992959998287201,"score_spread":0.2745807706372561,"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."}}