{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004189078,0.00009510421,0.0001234873,0.00006248055,0.0005436334,0.0007205614,0.000381934,0.0000865849,0.0006791626],"category_scores_gemma":[0.0006098618,0.00008938366,0.00006217037,0.0004655016,0.000207991,0.0126616,0.0000616743,0.00008620109,0.00005490864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002546547,"about_ca_system_score_gemma":0.0006347888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000552842,"about_ca_topic_score_gemma":0.000008522988,"domain_scores_codex":[0.9987835,0.00001112493,0.0002295371,0.0002254365,0.0003761408,0.0003742065],"domain_scores_gemma":[0.9981643,0.00005888035,0.00009796211,0.00005852064,0.001431238,0.0001890774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001837613,0.00004204303,0.04138805,0.00005199539,0.0000124376,0.000001161452,0.5398291,4.468897e-7,0.00006748026,0.3729991,0.03788071,0.007709049],"study_design_scores_gemma":[0.0002221543,0.00005509458,0.005813793,0.0000351473,0.000006995807,0.000002077217,0.1795723,0.0001731331,0.001347088,0.006811972,0.8057623,0.0001979424],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899823,0.00005271704,0.0007126636,0.01352428,0.0005848236,0.0003479838,0.00007686553,0.0002226331,0.09449574],"genre_scores_gemma":[0.9827094,0.00004449985,0.0009784764,0.002462604,0.0003398496,0.00004428948,0.00002134653,0.000005480572,0.01339405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7678816,"threshold_uncertainty_score":0.9179354,"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."}}