{"id":"W7018034961","doi":"","title":"Connectivité hydrologique et signature géochimique à l'échelle événementielle dans un bassin versant forestier","year":2012,"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":"Pluvial; Drainage basin; Drainage network; Shore; Hydrology (agriculture)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001296842,0.0003555786,0.0002545883,0.001333708,0.0004814847,0.00126778,0.0002257338,0.0003965306,0.00564376],"category_scores_gemma":[0.0002626682,0.0002275665,0.0002871808,0.001788756,0.0003642439,0.0006211841,0.0005783395,0.0003895104,0.0007718866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781775,"about_ca_system_score_gemma":0.0007665214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06760626,"about_ca_topic_score_gemma":0.08572967,"domain_scores_codex":[0.9999127,0.000004225358,0.00000315635,0.00003992849,0.00002333991,0.00001657916],"domain_scores_gemma":[0.9998524,0.00001898937,0.0000323725,0.00001280985,0.00005564097,0.00002771725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007421773,0.0001004289,0.6497102,0.0004296983,0.000348031,0.001328878,0.002167534,0.03180438,0.2139516,0.006778046,0.004556227,0.0880827],"study_design_scores_gemma":[0.0000202209,0.00004502916,0.9635316,0.00002808979,0.00005365377,0.0002701765,0.0006435923,0.01083574,0.01140257,0.0007381289,0.01238844,0.00004279218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780401,0.0006254315,0.004137224,0.0001668874,0.00003507136,0.00002509647,0.003637123,0.0004961902,0.0128368],"genre_scores_gemma":[0.9875451,0.0003759784,0.002481653,0.00002921739,0.00001134387,0.0000222231,0.002592671,0.0000788586,0.006862992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06760626,"threshold_uncertainty_score":0.1344255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002983788325961037,"score_gpt":0.1417952743862514,"score_spread":0.1388114860602904,"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."}}