{"id":"W3128710266","doi":"10.29173/iasl7585","title":"Predictors For Success","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Texas at Austin","keywords":"European union; Service (business); Political science; Medical education; Psychology; Public relations; Medicine; Business; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003345564,0.0004908347,0.0004474623,0.002820292,0.002049039,0.002987201,0.001056101,0.001334399,0.01951122],"category_scores_gemma":[0.02814999,0.0002920336,0.0008558949,0.002542979,0.001666166,0.001648866,0.002521974,0.003590858,0.002826846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000744662,"about_ca_system_score_gemma":0.002604256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007822211,"about_ca_topic_score_gemma":0.008820151,"domain_scores_codex":[0.9960563,0.0008724475,0.000429402,0.0003570034,0.001034474,0.001250367],"domain_scores_gemma":[0.9605771,0.01171528,0.009538955,0.001763121,0.003918489,0.01248707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003920793,0.0001557443,0.9938304,0.00002569218,0.00002976766,0.0001308399,0.0005155451,0.00006874312,0.0000340775,0.0002606361,0.0005719341,0.004337303],"study_design_scores_gemma":[0.000005525162,0.0001906535,0.9919695,0.00008217976,0.00003330384,0.0004212962,0.004393165,0.0004432608,0.0001038893,0.0006775132,0.001658218,0.00002144732],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9824632,0.0006093417,0.0004045754,0.001590478,0.00005138941,0.00006385892,0.0006996085,0.0000451962,0.01407234],"genre_scores_gemma":[0.99815,0.000216269,0.0001796359,0.00005521967,0.00002464161,0.00002353347,0.0003279809,0.00001837384,0.001004327],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01951122,"threshold_uncertainty_score":0.06527156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02616582597555391,"score_gpt":0.3013978407249272,"score_spread":0.2752320147493733,"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."}}