{"id":"W7097288308","doi":"","title":"A","year":2015,"lang":"en","type":"article","venue":"","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convention; Exposition (narrative); International airport; Position (finance); Government (linguistics); Front (military)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001211383,0.0009737047,0.0005367571,0.001936151,0.002497718,0.00507138,0.001412694,0.002507087,0.5320913],"category_scores_gemma":[0.005073238,0.0003909634,0.0009281539,0.001161397,0.0008273007,0.003210413,0.003210762,0.002345914,0.3623878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096415,"about_ca_system_score_gemma":0.003152717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005659858,"about_ca_topic_score_gemma":0.004400969,"domain_scores_codex":[0.9980896,0.0002327196,0.0001140688,0.0004930569,0.0007421759,0.0003282903],"domain_scores_gemma":[0.9971334,0.0002165678,0.0001362157,0.0004174931,0.001554915,0.0005414698],"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":[0.0002270203,0.0001563374,0.002737448,0.0004445999,0.00003138255,0.0005914858,0.0005132064,0.0004463138,0.003606379,0.05326749,0.6874862,0.2504921],"study_design_scores_gemma":[0.00001109695,0.00003813002,0.00109305,0.0001281947,0.000007857056,0.0004740147,0.0002869691,0.0002956617,0.0008454284,0.004366216,0.992435,0.00001829646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005097357,0.002278056,0.0146937,0.00992856,0.008187392,0.000363781,0.002719974,0.002911422,0.9538198],"genre_scores_gemma":[0.04555584,0.002753549,0.01143054,0.008436076,0.001612407,0.0003236876,0.00467675,0.001038799,0.9241723],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4679087,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2461792298938715,"score_gpt":0.2459030943010627,"score_spread":0.000276135592808785,"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."}}