{"id":"W3122852106","doi":"","title":"Cleaning Up after the Log Drivers' Waltz: Finding the Ottawa River Watershed","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Watershed; Forestry; Political science; Humanities; Water resource management; Geography; Environmental 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":[0.0007461374,0.0001841024,0.0002039533,0.00151018,0.006292081,0.004267762,0.001063706,0.0009694643,0.004090536],"category_scores_gemma":[0.002521112,0.0002291767,0.0001391369,0.002886581,0.003595131,0.002250732,0.002679093,0.0009730365,0.0004007505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01704458,"about_ca_system_score_gemma":0.02353648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8207408,"about_ca_topic_score_gemma":0.9541083,"domain_scores_codex":[0.9994167,0.0001081097,0.00002662386,0.00009751912,0.0001242758,0.0002268127],"domain_scores_gemma":[0.9988165,0.0002886185,0.0001955791,0.00007787726,0.00038567,0.0002357647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001270592,0.0001404969,0.4066478,0.0006245573,0.00004969999,0.003116998,0.3818188,0.0005139575,0.003040393,0.02400655,0.0331261,0.1467875],"study_design_scores_gemma":[0.000003696936,0.00004323725,0.248401,0.000351677,0.00003834183,0.0001609256,0.6281835,0.0001871846,0.0008748283,0.001498064,0.1202081,0.00004927612],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9589672,0.002021145,0.0003703285,0.01052937,0.00006950899,0.000103644,0.000623573,0.00002252206,0.02729266],"genre_scores_gemma":[0.9744966,0.002477866,0.001165119,0.001694704,0.00001887365,0.00005830938,0.0004275807,0.00002312814,0.0196379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1792592,"threshold_uncertainty_score":0.3606297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163840830496539,"score_gpt":0.2419667532461653,"score_spread":0.2303283449411999,"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."}}