{"id":"W7056526252","doi":"","title":"Figures de la filiation littéraire dans Bourlinguer de Blaise Cendrars","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domain (mathematical analysis); Context (archaeology); Identity (music)","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":[0.0007220518,0.0005946576,0.000237221,0.001619033,0.007442534,0.008181619,0.0006736863,0.001278375,0.05149352],"category_scores_gemma":[0.001678164,0.000288155,0.0003153969,0.001670539,0.006303343,0.003097451,0.00248538,0.003559002,0.006016776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01080478,"about_ca_system_score_gemma":0.002460449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0404322,"about_ca_topic_score_gemma":0.1170231,"domain_scores_codex":[0.9990898,0.0002877325,0.0000182301,0.0001548643,0.0002141115,0.0002352589],"domain_scores_gemma":[0.999368,0.0002319922,0.00007566687,0.00006257791,0.0001590146,0.0001027271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001513932,0.0000302518,0.001761235,0.0002940733,0.000009950728,0.0005965125,0.1896315,0.0005419733,0.002912905,0.7016457,0.03889691,0.06352756],"study_design_scores_gemma":[0.000003849475,0.00002337686,0.004584329,0.0002232908,0.000005431188,0.0001632933,0.03062736,0.0001066352,0.0009645708,0.005682462,0.9575937,0.00002167043],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08357128,0.005553312,0.00551035,0.006509252,0.001007205,0.00004584835,0.0002911264,0.0002303684,0.8972812],"genre_scores_gemma":[0.4120542,0.003399165,0.002513567,0.0004916656,0.0002209818,0.00004247107,0.0002279717,0.0002948501,0.5807551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05149352,"threshold_uncertainty_score":0.172263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001167841642704108,"score_gpt":0.1357137306495622,"score_spread":0.134545889006858,"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."}}