{"id":"W7100567237","doi":"","title":"JEAN-PHILIPPE GAGNE APPROCHES PROTEOMIQUES APPLIQUEES À","year":2014,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Order (exchange); Subject (documents)","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":[0.003925784,0.001816277,0.001222792,0.001608058,0.001327073,0.003199574,0.001174584,0.00183839,0.02443147],"category_scores_gemma":[0.01130856,0.0008893505,0.001237571,0.001241093,0.0006127745,0.002039708,0.00121254,0.00181333,0.0172868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113386,"about_ca_system_score_gemma":0.001982117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005936287,"about_ca_topic_score_gemma":0.008860749,"domain_scores_codex":[0.9972129,0.0006566445,0.00010225,0.0005203671,0.001290976,0.0002168144],"domain_scores_gemma":[0.995419,0.001452209,0.0001407582,0.0007272601,0.002038687,0.0002222091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002139218,0.0004345336,0.004900279,0.0009722222,0.0003920966,0.0008106373,0.0007821866,0.05917932,0.1029955,0.03753057,0.09964895,0.6902145],"study_design_scores_gemma":[0.0003998089,0.0003523644,0.00575096,0.0003164698,0.0001630898,0.00101716,0.0005839741,0.4276651,0.09854493,0.02940857,0.4355843,0.0002133018],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03790545,0.005826159,0.896283,0.004587134,0.002985367,0.0004772739,0.000975437,0.01814391,0.03281635],"genre_scores_gemma":[0.1833267,0.005648006,0.6667639,0.001556464,0.001014849,0.0005272964,0.003204172,0.00429959,0.133659],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02443147,"threshold_uncertainty_score":0.08173138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277377361647202,"score_gpt":0.264291483752884,"score_spread":0.251517710136412,"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."}}