{"id":"W2151280747","doi":"10.1016/j.fsigen.2014.11.023","title":"Inclusion probability with dropout: An operational formula","year":2014,"lang":"en","type":"article","venue":"Forensic Science International Genetics","topic":"Forensic and Genetic Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"","keywords":"Inclusion (mineral); Dropout (neural networks); Interpretation (philosophy); Locus (genetics); Context (archaeology); Mathematics; Statistics; Computer science; Genetics; Psychology; Biology; Machine learning; Social psychology; Gene","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":[0.0376246,0.001842608,0.003679585,0.004960325,0.001561218,0.005111576,0.008573432,0.004660515,0.01862417],"category_scores_gemma":[0.1686871,0.0009604856,0.002539595,0.004464926,0.008163253,0.01595009,0.006025834,0.006123579,0.001985208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391017,"about_ca_system_score_gemma":0.002260204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644028,"about_ca_topic_score_gemma":0.0008906726,"domain_scores_codex":[0.9851328,0.006369217,0.001188509,0.0030196,0.002885974,0.001403862],"domain_scores_gemma":[0.8662852,0.1088809,0.006344704,0.01093119,0.005619993,0.001937982],"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":[0.0002535182,0.0002655444,0.01120221,0.0003058996,0.0002498938,0.0003962585,0.0005518547,0.03985173,0.0004310306,0.8440785,0.01003289,0.09238064],"study_design_scores_gemma":[0.00007187595,0.0001502793,0.002682534,0.0002115491,0.0002461985,0.0009511848,0.000225427,0.3286076,0.0008096243,0.6614816,0.004486705,0.00007552107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03059151,0.001005347,0.9530947,0.003272102,0.0004726931,0.0003025469,0.0005866514,0.0007555661,0.009918813],"genre_scores_gemma":[0.6995764,0.001669327,0.2705162,0.00116926,0.002474603,0.001572291,0.001210617,0.0004953263,0.02131596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0376246,"threshold_uncertainty_score":0.1989803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400469918471686,"score_gpt":0.3018072108046478,"score_spread":0.287802511619931,"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."}}