{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005450714,0.001233212,0.00107587,0.001903691,0.002967041,0.004168198,0.001286517,0.001763949,0.6114084],"category_scores_gemma":[0.001511313,0.000576242,0.0007416451,0.003712634,0.0005928707,0.001155812,0.001397596,0.001913873,0.2096325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00993822,"about_ca_system_score_gemma":0.011631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7546576,"about_ca_topic_score_gemma":0.88239,"domain_scores_codex":[0.9991536,0.00006325026,0.00004154146,0.0002129674,0.0003248614,0.000203781],"domain_scores_gemma":[0.9992908,0.00006592699,0.00005333098,0.00007800681,0.000414198,0.00009768591],"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":[0.0001153337,0.00003809157,0.001020193,0.0003799896,0.00002764674,0.0002153992,0.0001128352,0.0003116749,0.0005145828,0.01125289,0.8275965,0.1584148],"study_design_scores_gemma":[0.00001700158,0.000006111674,0.001517887,0.0001236966,0.000007628156,0.00005947982,0.00005032888,0.00007982221,0.0001472242,0.0003405109,0.9976427,0.000007658734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001775913,0.01625655,0.001040095,0.004537175,0.002864628,0.0001540826,0.02610997,0.0009289657,0.9463327],"genre_scores_gemma":[0.003221426,0.002069799,0.0005061001,0.0005134086,0.00006587668,0.00003879511,0.002318751,0.0001716066,0.9910942],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6114084,"threshold_uncertainty_score":0.5542787,"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."}}