{"id":"W7162070268","doi":"10.82308/43237","title":"The law civil and maritime: Quebec admiralty courts and the development of «in rem» procedure","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Legal history; Tort; Lien","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":[0.006623253,0.0002612406,0.0002904061,0.001913184,0.02363771,0.01253545,0.002807156,0.003315327,0.01426213],"category_scores_gemma":[0.0179692,0.000333814,0.0002069242,0.002233309,0.02288546,0.003882411,0.004946911,0.005148342,0.000701648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09908365,"about_ca_system_score_gemma":0.1253222,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9637895,"about_ca_topic_score_gemma":0.9793832,"domain_scores_codex":[0.9925368,0.002484626,0.000133543,0.00048082,0.001514527,0.002849548],"domain_scores_gemma":[0.9873897,0.003466445,0.0008927882,0.0007236669,0.004553372,0.002974017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003707874,0.00005504562,0.007050996,0.00009160847,0.00001042963,0.000496741,0.07074375,0.0004762337,0.0002513566,0.8286325,0.03627469,0.05587954],"study_design_scores_gemma":[0.00003312061,0.00006773244,0.04729254,0.0007972316,0.00002948515,0.0002334743,0.1107278,0.001702862,0.0005173248,0.04316459,0.7953176,0.000116157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1582812,0.00586451,0.003157356,0.05657379,0.0004875142,0.0001268238,0.0001687068,0.00009392785,0.7752461],"genre_scores_gemma":[0.8989841,0.001042063,0.000699322,0.002642398,0.00005850359,0.00004024594,0.000037851,0.00003291558,0.09646254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09908365,"threshold_uncertainty_score":0.7189056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005975760044299779,"score_gpt":0.2348997926497118,"score_spread":0.228924032605412,"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."}}