{"id":"W6923434016","doi":"10.14288/1.0380789","title":"Watersheds 2014 : Towards Watershed Governance in British Columbia and Beyond","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Corporate governance; Government (linguistics); Watershed management; Water resources","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002001507,0.00004506788,0.0002150978,0.00001023198,0.0001121031,0.0001887176,0.0002779869,0.00007870871,0.007767137],"category_scores_gemma":[0.000005115452,0.000190938,0.00005508691,0.0001447584,0.000308334,0.0005296413,0.000478717,0.0001041937,0.000271429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943323,"about_ca_system_score_gemma":0.000008296974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7690902,"about_ca_topic_score_gemma":0.9568948,"domain_scores_codex":[0.9987549,0.0000456831,0.0001400959,0.0004837483,0.0003004077,0.0002751643],"domain_scores_gemma":[0.999558,0.00001096019,0.00008928845,0.0002307519,0.000006640859,0.0001043771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004463375,0.00009252525,0.7678605,0.00003788945,0.00001072546,0.00009605405,0.0001503921,0.0000191802,0.0004697254,4.584731e-7,0.02490536,0.2063527],"study_design_scores_gemma":[0.001206242,0.00006816372,0.9879943,0.00005121079,0.00001147557,0.00002276213,0.0008560112,0.0001715903,0.000001439054,0.0001356104,0.009260793,0.0002204616],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890469,0.00004722014,0.00001727976,0.0003206924,0.00008470434,0.0003653441,0.00005615097,0.0000284117,0.01003329],"genre_scores_gemma":[0.982204,0.0003830033,0.0004033157,0.0004694102,0.000004417848,0.000001089022,0.00001993574,0.00001232446,0.01650251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2201337,"threshold_uncertainty_score":0.9931399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003855335027875346,"score_gpt":0.1455087062850025,"score_spread":0.1416533712571272,"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."}}