{"id":"W4237331016","doi":"10.3410/f.1104052.560027","title":"Faculty Opinions recommendation of The fine-scale and complex architecture of human copy-number variation.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Variation (astronomy); Scale (ratio); Architecture; Copy-number variation; Computer science; Biology; Geography; Cartography; Archaeology; Genetics; Astronomy; Physics","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":[0.006558298,0.001849964,0.002001907,0.005610739,0.000692739,0.004656686,0.004530195,0.002660052,0.2033313],"category_scores_gemma":[0.05129735,0.001368593,0.002139161,0.007687298,0.0005145015,0.002047056,0.002541773,0.00245846,0.1081948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00188886,"about_ca_system_score_gemma":0.00700182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02130619,"about_ca_topic_score_gemma":0.059855,"domain_scores_codex":[0.9956865,0.0009888922,0.0008063226,0.0009729,0.001086003,0.00045937],"domain_scores_gemma":[0.9754495,0.008579306,0.003041026,0.00661743,0.004979469,0.001333286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006751531,0.00001524439,0.001387434,0.0006281526,0.00006541212,0.000007532678,0.000009753756,0.00009945359,0.0000572754,0.0002743308,0.9945627,0.002825316],"study_design_scores_gemma":[0.001394008,0.00003120987,0.01315917,0.000808007,0.0002394068,0.00008165567,0.00004194784,0.001029913,0.0005181253,0.002372422,0.9802589,0.00006517257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001125421,0.00003393227,0.0001663998,0.0002124575,0.00004383012,0.00003672908,0.9982128,0.0003179679,0.0008633757],"genre_scores_gemma":[0.001421244,0.0000951362,0.001507339,0.0002900974,0.0000379894,0.0003769527,0.9930704,0.0002565512,0.002944266],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2033313,"threshold_uncertainty_score":0.6802109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3543557385026414,"score_gpt":0.4937880494205611,"score_spread":0.1394323109179197,"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."}}