{"id":"W6926208385","doi":"10.24443/usi-arc-bib_fcor.4220","title":"Québec (città)","year":2005,"lang":"ca","type":"other","venue":"USI-Biblioteca","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001953231,0.000863802,0.0006913351,0.001433556,0.0001763076,0.0002423554,0.0008555093,0.0016875,0.01775956],"category_scores_gemma":[0.0001986384,0.000939015,0.0005045462,0.001121164,0.0002752108,0.000005234994,0.0005826458,0.0005444484,0.002517765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002005336,"about_ca_system_score_gemma":0.001755556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009696534,"about_ca_topic_score_gemma":0.04291001,"domain_scores_codex":[0.9967917,0.00006572261,0.0006141502,0.001271024,0.0003651867,0.000892283],"domain_scores_gemma":[0.9973798,0.00005761967,0.0004320606,0.001551816,0.0001662854,0.0004123947],"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":[0.0001242275,0.0002554425,0.0002981251,0.0001385573,0.0004310911,0.00004175198,0.00006679873,0.0001249396,0.0195262,0.0002626383,0.9269845,0.05174576],"study_design_scores_gemma":[0.001023965,0.0003985557,0.0003089948,0.0001374162,0.0001876771,0.00004021338,0.00002665988,0.00005306672,0.008998909,0.00002669395,0.9876881,0.001109803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009142808,0.1094819,0.001271066,0.003051619,0.002966288,0.00108111,0.001238712,0.00009290947,0.8716736],"genre_scores_gemma":[0.04911273,0.08303039,0.001543443,0.005338897,0.01553099,0.00008381909,0.0008904097,0.001069749,0.8433996],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06070358,"threshold_uncertainty_score":0.9996085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006804339817451902,"score_gpt":0.2385183927112577,"score_spread":0.2317140528938058,"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."}}