{"id":"W7070737440","doi":"","title":"Rapport de la journée régionale du Saguenay/Lac St-Jean et résumés des journées régionales","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Context (archaeology); Identification (biology); Perspective (graphical)","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":[],"consensus_categories":[],"category_scores_codex":[0.005412552,0.001136394,0.0007858202,0.007361368,0.004046505,0.005842769,0.00100987,0.001898525,0.0457048],"category_scores_gemma":[0.007581381,0.0005232936,0.001338259,0.005553516,0.001464652,0.001393427,0.001887744,0.002889169,0.007167711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02592895,"about_ca_system_score_gemma":0.04533557,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8555973,"about_ca_topic_score_gemma":0.8625016,"domain_scores_codex":[0.9964839,0.0003722496,0.0001900587,0.0004252371,0.001683596,0.0008448862],"domain_scores_gemma":[0.9906273,0.0007751817,0.000430744,0.000348862,0.005559973,0.002257928],"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":[0.0007585784,0.0001616311,0.0222585,0.001517721,0.0001817753,0.002764554,0.003315697,0.002200758,0.006565052,0.02353129,0.7675691,0.1691753],"study_design_scores_gemma":[0.00001404902,0.00001995367,0.02777982,0.000169324,0.0000159755,0.0002102403,0.0006351918,0.0001128279,0.0008586182,0.0001077843,0.9700435,0.0000327263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1284785,0.126756,0.009968705,0.1222555,0.05649891,0.0007133115,0.06227001,0.00394511,0.4891139],"genre_scores_gemma":[0.2255566,0.02952834,0.008770692,0.00558795,0.0053291,0.0003053764,0.01283892,0.00173126,0.7103517],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1444027,"threshold_uncertainty_score":0.2905062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164844964159218,"score_gpt":0.2490331690897775,"score_spread":0.2373847194481853,"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."}}