{"id":"W1600325429","doi":"","title":"Modélisation de l'humidité du sol du bassion versant de la rivière des anglais avec données du réseau Mésonet-Montréal","year":2006,"lang":"fr","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Forestry; Geography; Political science; Art","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":[0.000375742,0.000777831,0.0005319889,0.0004752159,0.0007926751,0.001857415,0.001306716,0.0008940643,0.003726967],"category_scores_gemma":[0.0006968331,0.0004702743,0.001338878,0.001024329,0.0005139001,0.0006079003,0.0004909051,0.0008255218,0.0005074232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004067475,"about_ca_system_score_gemma":0.004685991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7615563,"about_ca_topic_score_gemma":0.7148649,"domain_scores_codex":[0.9998146,0.00002229875,0.000008854937,0.00007054479,0.00004698189,0.00003687369],"domain_scores_gemma":[0.9997485,0.00008107242,0.00001957871,0.00002417933,0.0001011584,0.00002549734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001429384,0.00007264334,0.02761675,0.0001927187,0.0001655771,0.0001895992,0.0002475213,0.9405161,0.01684076,0.002157399,0.00109729,0.0107607],"study_design_scores_gemma":[0.00006448825,0.00005758641,0.02414142,0.00002881729,0.00007654942,0.00003288979,0.0002348351,0.9613343,0.006514844,0.0006032438,0.006842467,0.00006856919],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9137114,0.0008108457,0.05044153,0.0006480776,0.0001212658,0.0001716261,0.008276734,0.001242203,0.0245764],"genre_scores_gemma":[0.9724026,0.0004762685,0.01314379,0.00006671551,0.00001725399,0.0000912984,0.002447037,0.0001454305,0.01120967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2384437,"threshold_uncertainty_score":0.4796959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007070104945240017,"score_gpt":0.211037384479523,"score_spread":0.203967279534283,"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."}}