{"id":"W2220327490","doi":"10.71781/13114","title":"Connectivité hydrologique et signature géochimique à l'échelle événementielle dans un bassin versant forestier","year":2011,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Geology; Geography","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":[0.0002426482,0.0002457881,0.0002349866,0.001462609,0.0003056411,0.000748957,0.0001392831,0.0002302117,0.003278302],"category_scores_gemma":[0.0005021735,0.000170945,0.0002275902,0.001897571,0.0003575653,0.0004611408,0.0004275874,0.0002266579,0.0003572965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004885235,"about_ca_system_score_gemma":0.0005309436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03614943,"about_ca_topic_score_gemma":0.05868018,"domain_scores_codex":[0.999859,0.0000142096,0.000006569348,0.00006043313,0.00003650336,0.00002335605],"domain_scores_gemma":[0.9996718,0.0000809968,0.00008252794,0.00002642024,0.00009060266,0.00004757771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001808418,0.0000255358,0.9414785,0.00007788392,0.000157508,0.0002282935,0.001388206,0.003468121,0.02951999,0.001208861,0.0003255995,0.02194073],"study_design_scores_gemma":[0.000002156084,0.0000152151,0.9956335,0.000004526275,0.00001621159,0.00009074443,0.0003288657,0.001508891,0.001122484,0.0002479454,0.001021575,0.000007782518],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943541,0.000205012,0.002263681,0.00003650973,0.000003624304,0.000007703564,0.0007479114,0.00005381291,0.00232749],"genre_scores_gemma":[0.9963375,0.0001137443,0.001283886,0.000007873499,0.000004231731,0.00001036234,0.0007109246,0.00001074471,0.001520646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03614943,"threshold_uncertainty_score":0.07187808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004277545301639713,"score_gpt":0.1596979468650715,"score_spread":0.1554204015634318,"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."}}