{"id":"W7043812983","doi":"","title":"Sur l'inÃ©galitÃ© de Visser","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Limiting; Variable (mathematics)","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":[0.0007747288,0.001095284,0.0005711393,0.001665696,0.001233851,0.003842695,0.0005001079,0.0006859046,0.02382441],"category_scores_gemma":[0.002151341,0.0004405095,0.00085663,0.001274409,0.003934054,0.003518465,0.002200132,0.004278117,0.004554166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003665,"about_ca_system_score_gemma":0.001083637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003855807,"about_ca_topic_score_gemma":0.003282398,"domain_scores_codex":[0.99922,0.0001616938,0.00002358403,0.0001894563,0.0002697899,0.0001354434],"domain_scores_gemma":[0.9992815,0.000248554,0.00007590692,0.0000976783,0.0002154283,0.00008106778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000380489,0.000006276168,0.0002392501,0.0000787909,0.00001111087,0.00004625936,0.0002245912,0.0007497877,0.001734788,0.9737028,0.00386255,0.01930574],"study_design_scores_gemma":[0.00002783621,0.00006552583,0.001880201,0.0001164566,0.00002525824,0.000553609,0.0002994923,0.005198682,0.006821681,0.8693697,0.1156038,0.0000377276],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1165971,0.008671743,0.1454921,0.003558004,0.001008267,0.00004171471,0.0007225925,0.0005972208,0.7233114],"genre_scores_gemma":[0.7177255,0.008990668,0.03251076,0.001156966,0.001256803,0.00009153,0.001003855,0.001003657,0.2362603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02382441,"threshold_uncertainty_score":0.07970053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002382057380916819,"score_gpt":0.1395905803687578,"score_spread":0.1372085229878409,"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."}}