{"id":"W7058815558","doi":"","title":"Nous sommes tous des Quebecois","year":2000,"lang":"fr","type":"book-chapter","venue":"Institutional Research Information System (Università degli Studi di Trento)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Relation (database); Subject (documents); Perspective (graphical)","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":[0.001448906,0.00131396,0.0008456793,0.001707806,0.01162492,0.008236043,0.001079309,0.003234473,0.1106419],"category_scores_gemma":[0.004448683,0.000610824,0.000677211,0.002643778,0.002869099,0.005728207,0.002020813,0.006752239,0.01680904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01706536,"about_ca_system_score_gemma":0.01341083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7662699,"about_ca_topic_score_gemma":0.8636032,"domain_scores_codex":[0.9984263,0.0003259075,0.00004487505,0.0002984254,0.000545033,0.0003594884],"domain_scores_gemma":[0.9982582,0.0003462498,0.00007759538,0.000105468,0.0007596783,0.0004528281],"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":[0.0001345754,0.00006457799,0.002593317,0.0001252561,0.00002804312,0.001437926,0.00735438,0.0003573288,0.0009054231,0.1523759,0.7525228,0.08210044],"study_design_scores_gemma":[0.000003226281,0.000004621488,0.0005132149,0.00003315336,0.000002676314,0.00011618,0.001335368,0.00004585984,0.00009961031,0.001183279,0.9966487,0.00001399339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02602144,0.04353619,0.01045044,0.2727889,0.03191547,0.0001596457,0.002282067,0.001426184,0.6114197],"genre_scores_gemma":[0.02143117,0.003920905,0.001435718,0.01148684,0.0005359778,0.00004249801,0.0002042417,0.0002767299,0.9606659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2337301,"threshold_uncertainty_score":0.4702131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06004353304253419,"score_gpt":0.2768456222036155,"score_spread":0.2168020891610813,"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."}}