{"id":"W4241011477","doi":"10.18192/uojm.v1i1.1024","title":"Test article 2","year":2014,"lang":"en","type":"article","venue":"University of Ottawa Journal of Medicine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Computer science; Biology; Botany","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008990251,0.00004735984,0.0003104142,0.000176962,0.00005336706,0.000003065338,0.0001981265,0.00002429331,0.004893639],"category_scores_gemma":[0.0003512691,0.0000482266,0.00006691587,0.00009418179,0.0002560294,0.000125031,0.00003024518,0.00006529626,0.0005301311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002948674,"about_ca_system_score_gemma":0.000007644599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008141587,"about_ca_topic_score_gemma":0.000007198835,"domain_scores_codex":[0.9994799,0.000006765424,0.0002994257,0.00008444043,0.00003571797,0.00009369262],"domain_scores_gemma":[0.9991454,0.00009353607,0.0005221635,0.0001014853,0.00006702398,0.00007035548],"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":[0.00002532236,0.0001413769,0.1842521,0.00002865629,0.0001386682,0.00001814427,0.002785787,0.00008582267,0.0001503504,0.1595719,0.6502408,0.00256114],"study_design_scores_gemma":[0.002455338,0.0002975808,0.03236217,0.00004734597,0.00002494356,0.00001363557,0.002375979,0.0004650197,0.00005268479,0.004224187,0.9575987,0.00008236132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1633288,0.001093476,0.005343857,0.005214408,0.001726718,0.00005106667,0.00003206897,0.000008672311,0.823201],"genre_scores_gemma":[0.9762049,0.0001389245,0.0006532557,0.0001086203,0.0001289353,5.260179e-9,3.129136e-7,0.000002866266,0.0227622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8128761,"threshold_uncertainty_score":0.996016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0197743156957155,"score_gpt":0.1746274447790276,"score_spread":0.1548531290833121,"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."}}