{"id":"W7030681624","doi":"","title":"A new capture-recapture model selection criterion /","year":2007,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Akaike information criterion; Bayesian information criterion; Population; Selection (genetic algorithm); Model selection; Information Criteria; Population size","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009662819,0.001007143,0.0009058051,0.0007139753,0.000968777,0.0001314828,0.0004408698,0.001855586,0.0005785481],"category_scores_gemma":[0.0009939284,0.001080138,0.0004990553,0.0007918588,0.00002046279,0.0008509485,0.00005460439,0.001938585,0.0002011833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016702,"about_ca_system_score_gemma":0.0001424993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006722023,"about_ca_topic_score_gemma":0.005626167,"domain_scores_codex":[0.9953179,0.0001904392,0.001380564,0.001099912,0.00120106,0.0008101766],"domain_scores_gemma":[0.9967925,0.0002500354,0.001047394,0.0006911774,0.0007457309,0.0004731633],"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":[0.0008265625,0.0004281374,0.00004601086,0.001605836,0.0003447162,0.0000395757,0.0001596501,0.002172783,0.03273784,0.697687,0.001330352,0.2626216],"study_design_scores_gemma":[0.002453521,0.0002149795,0.001371865,0.001560331,0.00119917,0.0001487321,0.000276679,0.0197945,0.02778763,0.8850642,0.0565854,0.003542958],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8378909,0.0003665547,0.0005980192,0.00005829937,0.003284559,0.002063512,0.0008947871,0.001360388,0.1534829],"genre_scores_gemma":[0.8419579,0.0000894396,0.06607328,0.0003868813,0.0003410254,0.00009604554,0.003409048,0.0005544131,0.08709198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2590786,"threshold_uncertainty_score":0.9994402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673069060252895,"score_gpt":0.3191618042651254,"score_spread":0.2824311136625964,"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."}}