{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005560832,0.00009333685,0.0001266701,0.0002019977,0.0003318275,0.0001662267,0.0003487851,0.00006517531,0.001326081],"category_scores_gemma":[0.0001601757,0.00007469147,0.0001156155,0.00052097,0.00002326561,0.0005955098,0.00003175469,0.0009802055,0.001709425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004758702,"about_ca_system_score_gemma":0.001028233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006082093,"about_ca_topic_score_gemma":0.00007585556,"domain_scores_codex":[0.9978217,0.0001750829,0.0004139528,0.0002648378,0.0004473298,0.0008771103],"domain_scores_gemma":[0.9991353,0.0001107477,0.0002931042,0.0001788935,0.000218476,0.00006345563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006766935,0.00005261487,0.000955471,4.709301e-7,0.00003597879,5.882162e-8,0.0001128049,0.01014527,0.004281466,0.8910031,0.001174802,0.09217031],"study_design_scores_gemma":[0.0002902597,0.00008412577,0.00006772727,0.00000147928,0.000008780852,0.0001995368,0.0008462396,0.05005589,0.0003446917,0.937901,0.01010655,0.00009370402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2742134,0.00003455787,0.7164217,0.002186747,0.0002830956,0.0001338371,0.000002321125,0.00003924004,0.00668513],"genre_scores_gemma":[0.9768191,0.00009920014,0.0003464917,0.0001565573,0.0002041194,0.000006493863,0.000004341728,0.00001030095,0.02235338],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7160752,"threshold_uncertainty_score":0.9995868,"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."}}