{"id":"W1995933622","doi":"10.5489/cuaj.1534","title":"Unpublished abstracts can be invaluable","year":2014,"lang":"en","type":"article","venue":"Canadian Urological Association Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00441035,0.001609697,0.001754971,0.009522558,0.002607198,0.005740386,0.002298222,0.003274736,0.7581526],"category_scores_gemma":[0.03263707,0.0006570623,0.001448166,0.006005466,0.0009306002,0.002988173,0.003675482,0.003034919,0.6597846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002895311,"about_ca_system_score_gemma":0.004552238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006335174,"about_ca_topic_score_gemma":0.01463908,"domain_scores_codex":[0.9961845,0.0004735636,0.0003845766,0.0003645664,0.002257501,0.0003352738],"domain_scores_gemma":[0.9753181,0.004533462,0.0009428432,0.002889395,0.01268187,0.003634395],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000425476,0.00001505883,0.00004400396,0.0001094389,0.000004249997,0.0000371007,0.00001282151,0.00002286392,0.0001164032,0.0007615292,0.9839324,0.01490175],"study_design_scores_gemma":[0.00002757145,0.00001281375,0.0004300227,0.00009952164,0.000006720257,0.00002831885,0.00003700921,0.00003867861,0.0001321718,0.001419738,0.9977568,0.00001070689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001087834,0.008294622,0.001889175,0.04171851,0.1495799,0.0009279596,0.03878597,0.002092121,0.7556238],"genre_scores_gemma":[0.001933194,0.001664722,0.0007650648,0.003181779,0.009338169,0.0002708815,0.006979147,0.0006841215,0.9751829],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9955897,"threshold_uncertainty_score":0.3449659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351324616917722,"score_gpt":0.1830195275455392,"score_spread":0.1495062813763619,"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."}}