{"id":"W3176825181","doi":"10.2139/ssrn.3451727","title":"A Sequential Recommendation - Selection Model","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Selection (genetic algorithm); Computer science; Model selection; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009461278,0.002162327,0.005730412,0.002416599,0.001417444,0.004464682,0.006818211,0.006891599,0.02111323],"category_scores_gemma":[0.01705438,0.002335844,0.002118306,0.004472206,0.002014932,0.006263693,0.001729335,0.003677653,0.005771167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204818,"about_ca_system_score_gemma":0.002008709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001094,"about_ca_topic_score_gemma":0.007649909,"domain_scores_codex":[0.993875,0.003123053,0.0003000146,0.001451279,0.0006519703,0.0005986514],"domain_scores_gemma":[0.9781065,0.01707957,0.001240038,0.001286616,0.00142441,0.0008629417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001843812,0.0009344117,0.005157443,0.0006434686,0.0008229192,0.001174825,0.0003413291,0.7024717,0.00139929,0.1956968,0.01630053,0.07321338],"study_design_scores_gemma":[0.0003460862,0.0002115728,0.0004705278,0.00002102749,0.000121143,0.0001817915,0.00002662005,0.9553357,0.0001363477,0.04183216,0.001274038,0.00004297428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1186046,0.001781114,0.841642,0.009599041,0.0005362717,0.0007698786,0.003149012,0.001447688,0.02247039],"genre_scores_gemma":[0.8216853,0.001989511,0.08280756,0.001144806,0.001031776,0.0009277245,0.002310512,0.0001722806,0.08793057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02111323,"threshold_uncertainty_score":0.07063073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05261389213326762,"score_gpt":0.3692391264305788,"score_spread":0.3166252342973112,"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."}}