{"id":"W4200486287","doi":"10.22541/au.163776891.18575871/v1","title":"Voicing Rivers: Editorial","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Voice; Privilege (computing); Variety (cybernetics); Focus (optics); Work (physics); Library science; Public relations; Sociology; Media studies; Political science; Engineering; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.009472679,0.002482226,0.002001817,0.003660984,0.003326637,0.01137471,0.002433825,0.007153127,0.04632197],"category_scores_gemma":[0.0409496,0.00073083,0.001722013,0.001595823,0.002228886,0.00612699,0.002833919,0.009675798,0.02895837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959745,"about_ca_system_score_gemma":0.003757635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007649474,"about_ca_topic_score_gemma":0.001536537,"domain_scores_codex":[0.9932284,0.00113374,0.0007176015,0.001135576,0.003299963,0.0004846899],"domain_scores_gemma":[0.9537429,0.009157597,0.002321567,0.002521088,0.02278661,0.009470306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001328594,0.000004883442,0.00002674764,0.00005979088,0.000003572369,0.00004494868,0.00001874866,0.000009406062,0.00004306875,0.0001675804,0.9963558,0.003252179],"study_design_scores_gemma":[0.00001172299,0.0000177567,0.0001597576,0.0001804824,0.000008157482,0.0001508327,0.00009519322,0.0000440508,0.00007985338,0.000695915,0.9985455,0.00001072701],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005953546,0.00149525,0.0001658536,0.02059685,0.9757659,0.00001719381,0.00006321093,0.0001079985,0.001728216],"genre_scores_gemma":[0.0006471769,0.001890819,0.0001811109,0.01014419,0.9705216,0.00002227714,0.0001065336,0.0002067588,0.01627962],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04632197,"threshold_uncertainty_score":0.1549624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008859079412817964,"score_gpt":0.2170619153591221,"score_spread":0.2082028359463041,"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."}}