{"id":"W7011545314","doi":"","title":"Modélisation des bi-grappes et sélection des variables pour des données de grande\\ndimension : application aux données dâexpression génétique","year":2013,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Term (time); Limiting; Relation (database)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00231363,0.001739174,0.001247976,0.001439075,0.001009501,0.003208056,0.001457256,0.0009601698,0.008675543],"category_scores_gemma":[0.006995413,0.0007093307,0.002435562,0.001556356,0.001372598,0.003268291,0.003215249,0.002271231,0.003260025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186233,"about_ca_system_score_gemma":0.002239075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007498173,"about_ca_topic_score_gemma":0.007579103,"domain_scores_codex":[0.9974874,0.0004857298,0.0002617858,0.0007051055,0.0008543926,0.000205517],"domain_scores_gemma":[0.9974309,0.0009107426,0.0002476989,0.0006051001,0.0006957294,0.0001098635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005660976,0.0001324708,0.006479639,0.001146408,0.0002991609,0.0005566969,0.001687749,0.1144784,0.04967338,0.1235777,0.009933064,0.6914691],"study_design_scores_gemma":[0.00008043192,0.0002902831,0.003111563,0.0002639669,0.000122079,0.0006073338,0.0006591345,0.7924448,0.04411615,0.08331162,0.07488935,0.0001032112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01075177,0.0003457832,0.9852624,0.0001941119,0.00006609454,0.00007064462,0.0002141453,0.001499176,0.001595896],"genre_scores_gemma":[0.06466226,0.0004437309,0.9233074,0.0001505863,0.00007021191,0.0002798645,0.0008856153,0.0006871833,0.009513052],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008675543,"threshold_uncertainty_score":0.02902257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030874296989622,"score_gpt":0.1534437380657921,"score_spread":0.1431349950958959,"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."}}