{"id":"W4386611389","doi":"10.2139/ssrn.4567660","title":"Composite Sorting","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Composite number; Mathematics; Composite material; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.002794231,0.0001038714,0.0001296542,0.0001490853,0.0002689394,0.0001493395,0.0007183687,0.00004560483,0.000002703241],"category_scores_gemma":[0.0000256246,0.00008805867,0.00009955922,0.0005564551,0.00001509203,0.0003157942,0.0001300113,0.001140881,0.0001153764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814964,"about_ca_system_score_gemma":0.00067023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006688555,"about_ca_topic_score_gemma":0.00001661644,"domain_scores_codex":[0.9971985,0.0001180052,0.0002131152,0.0002017455,0.0002256805,0.002042995],"domain_scores_gemma":[0.9994764,0.00005275931,0.000105331,0.0002323935,0.00004660763,0.00008655584],"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":[0.000001647447,0.000006600952,0.0001087677,0.000001268426,0.00002271017,0.00001069433,0.0001548258,0.00001819837,0.001155198,0.6921273,0.0001518791,0.3062409],"study_design_scores_gemma":[0.0002046048,0.00008895887,0.0002764547,0.000009439197,0.0000051313,0.0005244656,0.00005352554,0.0135469,0.0003165024,0.9839857,0.0008604333,0.0001279319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01605533,0.0004530236,0.9783918,0.001934283,0.0003055536,0.00004177554,1.468668e-7,0.0002034789,0.002614655],"genre_scores_gemma":[0.8854456,0.001544494,0.1083518,0.0004258384,0.0004406708,0.000004031622,0.000001105107,0.000023446,0.003762997],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8700399,"threshold_uncertainty_score":0.4956621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297301445210604,"score_gpt":0.2724205158337665,"score_spread":0.2594475013816605,"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."}}