{"id":"W7050421770","doi":"","title":"Talk at McGill","year":2010,"lang":"en","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Advanced Electrical Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; AXA Research Fund","keywords":"Statistical analysis; Key (lock); Subject (documents); Association (psychology); Term (time)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001676925,0.000668837,0.0005834629,0.0004458784,0.0001970974,0.00006069857,0.0005465765,0.0008954538,0.02974478],"category_scores_gemma":[0.00007836635,0.0007246328,0.0001739828,0.0003750143,0.00009976191,0.002070072,0.0001303334,0.0008492487,0.003762703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004677683,"about_ca_system_score_gemma":0.00002260759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002688166,"about_ca_topic_score_gemma":0.002084636,"domain_scores_codex":[0.9975497,0.00004705861,0.0004777387,0.0006259379,0.0006971905,0.0006024424],"domain_scores_gemma":[0.9986019,0.0000565671,0.0002042726,0.0007645125,0.0001027632,0.0002700335],"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":[0.00001142899,0.00006262358,0.000001594422,0.0001511794,0.00009221884,0.00005667558,0.000001507781,0.0000556509,0.006359599,0.008164347,0.972056,0.0129872],"study_design_scores_gemma":[0.0003754521,0.00006681969,0.00005686999,0.0002481535,0.0000561516,0.00004645777,0.000001357403,0.00007230859,0.02750931,0.0009435218,0.969797,0.0008265889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001616455,0.0008352212,0.007284157,0.0009870444,0.002728793,0.001196785,0.001152739,0.005046037,0.9807531],"genre_scores_gemma":[0.01089032,0.002866256,0.02466005,0.01180676,0.004102499,0.002770768,0.005849739,0.003718505,0.9333351],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04741795,"threshold_uncertainty_score":0.9995205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293267322331626,"score_gpt":0.2292506908015733,"score_spread":0.216318017578257,"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."}}