{"id":"W1873242787","doi":"10.7202/018461ar","title":"La grande inconnue","year":2008,"lang":"fr","type":"article","venue":"Revue des sciences de l eau","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Humanities; Geography; Forestry; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001423199,0.0006393956,0.0005777023,0.000773686,0.00206279,0.003882169,0.000994666,0.0008881734,0.02001742],"category_scores_gemma":[0.004569001,0.0002765563,0.000612877,0.001578678,0.001887,0.001381231,0.002475288,0.001902437,0.002773756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006424482,"about_ca_system_score_gemma":0.007215182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.392846,"about_ca_topic_score_gemma":0.5253528,"domain_scores_codex":[0.9984497,0.0002520799,0.00004551147,0.0005294734,0.0004215637,0.0003016606],"domain_scores_gemma":[0.9976646,0.0004545762,0.0002139843,0.0004191448,0.001005969,0.0002418691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005652824,0.0001021073,0.2157615,0.00138344,0.0008090955,0.002242243,0.01231507,0.01844911,0.01743023,0.2240974,0.09232334,0.4145211],"study_design_scores_gemma":[0.00003230882,0.0001279103,0.1492855,0.000509308,0.0001944748,0.0007299415,0.006646519,0.005008847,0.002772544,0.02928605,0.8053054,0.0001012505],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2886744,0.01001266,0.02884173,0.03025929,0.001552845,0.0001116846,0.004595096,0.001522887,0.6344295],"genre_scores_gemma":[0.9090424,0.004026123,0.005269963,0.003894719,0.0002753124,0.00006217323,0.001543391,0.0003751529,0.07551071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.392846,"threshold_uncertainty_score":0.7811187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06917463764599358,"score_gpt":0.2828395512018014,"score_spread":0.2136649135558079,"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."}}