{"id":"W3209786379","doi":"","title":"La restauration de la rivière Petitcodiac (1968–2016): Une analyse basée sur l'Approche des courants multiples","year":2019,"lang":"fr","type":"article","venue":"Journal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Government (linguistics); Bridge (graph theory); Politics; Political science; Humanities; Archaeology; Sociology; Geography; Art; Law; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003364477,0.001082577,0.001964991,0.0002853807,0.0007734895,0.0003431441,0.001133415,0.0007603623,0.0004493695],"category_scores_gemma":[0.001108309,0.001020192,0.0009847772,0.001058945,0.002007478,0.002464491,0.0006693071,0.001720965,0.0004167741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003179161,"about_ca_system_score_gemma":0.003530629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05910169,"about_ca_topic_score_gemma":0.08768377,"domain_scores_codex":[0.9923031,0.001730151,0.002137273,0.0008893333,0.001440705,0.001499411],"domain_scores_gemma":[0.9938473,0.002092626,0.002143716,0.0007256213,0.0002414931,0.0009492162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005544382,0.003106527,0.8773105,0.0009864777,0.002431714,0.0006770696,0.04529887,0.01110309,0.02032361,0.000908785,0.01810332,0.01919564],"study_design_scores_gemma":[0.005660243,0.001072224,0.8835877,0.002243361,0.0007990216,0.0006528434,0.03506153,0.0006995374,0.001495042,0.00065987,0.0668125,0.001256097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721268,0.01457798,0.0003989571,0.006114605,0.001519642,0.0007571801,0.0000320378,0.00005193478,0.004420806],"genre_scores_gemma":[0.9424847,0.03400527,0.007697135,0.0004041734,0.001045514,0.000005924069,0.00001712217,0.0001612909,0.01417889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04870918,"threshold_uncertainty_score":0.9992248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04796648076519074,"score_gpt":0.2906699530618554,"score_spread":0.2427034722966647,"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."}}