{"id":"W7027306113","doi":"","title":"Contrôle des effets de surfaces pour minimiser la délocalisation du gras viscéral en Imagerie par Spectrométrie de Masse","year":2021,"lang":"fr","type":"other","venue":"Open MIND","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Université de Montréal; McGill University Health Centre; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Fluorescent labelling; Agrégation; Context (archaeology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001087293,0.0008667347,0.0007761883,0.0005772254,0.0004167699,0.00115893,0.0007554711,0.0009608243,0.002291594],"category_scores_gemma":[0.001556158,0.0005033483,0.0005913664,0.0005064184,0.0005850886,0.0006273973,0.0007006116,0.0007676351,0.0006610164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007261151,"about_ca_system_score_gemma":0.0004831059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001972088,"about_ca_topic_score_gemma":0.002357333,"domain_scores_codex":[0.9991375,0.00009891616,0.00003493145,0.0002413725,0.000379973,0.0001073059],"domain_scores_gemma":[0.9992927,0.000267471,0.00009746444,0.00007308805,0.0002330906,0.00003611378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000147435,0.00002561077,0.0001780602,0.0001474887,0.00000823587,0.00002739722,0.00006778756,0.001192132,0.9892499,0.0002054166,0.0001657412,0.008584749],"study_design_scores_gemma":[0.00001126897,0.000209813,0.001062654,0.00001417388,0.00001864006,0.00002327687,0.00006109884,0.008510092,0.9869354,0.0001078131,0.003027849,0.00001792433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8949865,0.005595428,0.09143738,0.0005819803,0.0002482285,0.00016356,0.0003173658,0.001121364,0.005548134],"genre_scores_gemma":[0.9049947,0.004234406,0.07904343,0.0003058659,0.00003932825,0.0003977617,0.0003901801,0.0004860257,0.01010823],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002291594,"threshold_uncertainty_score":0.007666111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393932087526229,"score_gpt":0.2807680541576936,"score_spread":0.2668287332824313,"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."}}