{"id":"W6983018924","doi":"","title":"Le document technologique original dans le droit de la preuve au QuÃ©bec","year":2013,"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); Information scientist; Civil code","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":[0.002492149,0.0007183949,0.0006362861,0.002918257,0.007177623,0.01555547,0.001457689,0.0041736,0.1998281],"category_scores_gemma":[0.008020268,0.0006092419,0.0006936907,0.005560739,0.004845209,0.002998925,0.001929349,0.004623618,0.04347414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03387431,"about_ca_system_score_gemma":0.05907882,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6964747,"about_ca_topic_score_gemma":0.7054581,"domain_scores_codex":[0.9963904,0.0003501779,0.0001501264,0.0004676367,0.002207492,0.0004341218],"domain_scores_gemma":[0.9930483,0.001010732,0.0002273775,0.0009405887,0.0044601,0.0003128538],"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":[0.00006307035,0.00004918064,0.0007268195,0.0006251234,0.00002307828,0.0003940567,0.004043374,0.0004778692,0.001635608,0.1404048,0.7772605,0.07429656],"study_design_scores_gemma":[0.000003700779,0.000005673523,0.0008578783,0.0001982787,0.000005023659,0.00004791368,0.0003784945,0.00005369522,0.0003566486,0.001105556,0.9969732,0.00001399717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005899392,0.01042932,0.006218696,0.03689044,0.01329112,0.0003014358,0.007275601,0.0008540162,0.9188399],"genre_scores_gemma":[0.0258639,0.009055496,0.003250738,0.004642772,0.0006687329,0.0001964861,0.003152025,0.0005477528,0.9526219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3035253,"threshold_uncertainty_score":0.6684915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001510190781567086,"score_gpt":0.1402025866971387,"score_spread":0.1386923959155716,"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."}}