{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003391972,0.00004027471,0.0001159588,0.00000683635,0.00003763524,0.000004717506,0.00004146327,0.0000144935,0.005188297],"category_scores_gemma":[0.0001689379,0.00002805679,0.00001154427,0.0001418772,0.0001760666,0.0001113919,0.00004136287,0.00001565102,0.00004700405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001212373,"about_ca_system_score_gemma":0.00004495765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001361169,"about_ca_topic_score_gemma":0.00003351919,"domain_scores_codex":[0.9995114,0.000009440876,0.0002409785,0.00009652767,0.0000882224,0.00005342592],"domain_scores_gemma":[0.999691,0.000009014362,0.000129474,0.0001235857,0.00002168206,0.00002526279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007490916,0.0002194985,0.1020063,0.001678379,0.00003707238,0.000006470848,0.0003346384,0.000001121613,0.03442391,0.06240257,0.2820753,0.5168073],"study_design_scores_gemma":[0.00001810496,0.00003475145,0.02136372,0.0006360174,0.00000879716,0.000023534,0.000006243686,5.091835e-7,0.001711238,0.001374264,0.9747737,0.00004912513],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6897548,0.02401703,0.00004507856,0.002764228,0.0007231949,0.0006527206,0.00001081531,0.00001941879,0.2820127],"genre_scores_gemma":[0.9347324,0.05941093,0.003081628,0.001409496,0.0001221171,0.00002535861,0.00002281593,0.000004863704,0.001190441],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6926984,"threshold_uncertainty_score":0.9957211,"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."}}