{"id":"W4236233809","doi":"10.4296/cwrj3601107","title":"Guidelines for Manuscript Preparation / Directives pour la préparation des documents manuscrits","year":2011,"lang":"fr","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.1272643,0.004136918,0.006879345,0.01460038,0.005890946,0.01255758,0.008260953,0.009657452,0.1604436],"category_scores_gemma":[0.3993153,0.006300053,0.004996073,0.01042821,0.007948335,0.006211441,0.006708132,0.01497883,0.2287467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004919923,"about_ca_system_score_gemma":0.0410366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794837,"about_ca_topic_score_gemma":0.009910039,"domain_scores_codex":[0.8533353,0.06091625,0.04057716,0.005987052,0.03594231,0.003241944],"domain_scores_gemma":[0.3869576,0.1324455,0.04010138,0.05674302,0.3712517,0.01250074],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006558608,0.0002192319,0.0002245117,0.007379908,0.0000915276,0.0004884834,0.001308744,0.0002003666,0.003562434,0.002161908,0.926947,0.05675998],"study_design_scores_gemma":[0.0006816343,0.0002283193,0.001261395,0.008738826,0.0001643408,0.0008725277,0.000626351,0.0003837782,0.003259374,0.004907807,0.9787003,0.000175132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005401638,0.0387556,0.2481412,0.1034874,0.1672461,0.1701554,0.125308,0.02631117,0.1151934],"genre_scores_gemma":[0.0114065,0.02787865,0.4919698,0.01643858,0.02578979,0.1768568,0.06768624,0.009278025,0.1726957],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9874424,"threshold_uncertainty_score":0.673046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1163171022352985,"score_gpt":0.2915841938390373,"score_spread":0.1752670916037388,"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."}}