{"id":"W7068859793","doi":"","title":"FOQ Canada","year":2005,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","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":[0.0004544498,0.001807145,0.001051603,0.002888039,0.006349857,0.004048625,0.002504124,0.002524853,0.7809827],"category_scores_gemma":[0.001649833,0.0005687751,0.0008247375,0.003868265,0.001213917,0.001337225,0.002030376,0.001792998,0.3655015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149027,"about_ca_system_score_gemma":0.02041884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6591625,"about_ca_topic_score_gemma":0.8024725,"domain_scores_codex":[0.9987932,0.00005535832,0.00002372201,0.0003131337,0.0005336229,0.0002808583],"domain_scores_gemma":[0.998362,0.0001493263,0.00005772352,0.0001243833,0.001020931,0.0002856779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003063415,0.0001737682,0.001639957,0.000560576,0.00006202889,0.0006228301,0.000260529,0.0007249371,0.004007377,0.04252272,0.7120845,0.2370345],"study_design_scores_gemma":[0.0000269227,0.00001782215,0.001549142,0.00009112151,0.0000106841,0.00008914209,0.0001579719,0.0002070619,0.0005443182,0.00138815,0.9959043,0.00001322727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002843824,0.003683992,0.001083937,0.004405102,0.001374246,0.0001477888,0.01341397,0.0008249808,0.9722223],"genre_scores_gemma":[0.003206813,0.0008748666,0.0006660762,0.0003612721,0.00003607192,0.00001963783,0.002030115,0.0001441767,0.9926609],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7809827,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002788843700754576,"score_gpt":0.1510032861681296,"score_spread":0.1482144424673751,"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."}}