{"id":"W4221007319","doi":"10.1002/rra.3939","title":"Voicing Rivers","year":2022,"lang":"en","type":"article","venue":"River Research and Applications","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Voice; Environmental science; Geology; Hydrology (agriculture); Computer science; Geotechnical engineering; Speech recognition","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004111157,0.00002639083,0.00003443444,0.00005021866,0.002704857,0.00004207987,0.0001969072,0.00001399564,0.0004372361],"category_scores_gemma":[0.00001436069,0.00002680511,0.00001132077,0.0003688274,0.0004302487,0.0000925977,0.0001491153,0.0002093596,0.00003514412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008834466,"about_ca_system_score_gemma":0.00008941464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002417916,"about_ca_topic_score_gemma":0.0001338836,"domain_scores_codex":[0.999109,0.00008969646,0.00004318704,0.0001304065,0.0004053844,0.0002223682],"domain_scores_gemma":[0.9996935,0.00005385501,0.00001397448,0.0001006421,0.00005342086,0.00008462767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001010487,0.00005560692,0.01033397,0.000005770758,0.00001051191,0.000002921163,0.01683296,0.00002647058,0.0006568465,0.8820598,0.04725182,0.04275321],"study_design_scores_gemma":[0.00006279265,0.00002017703,0.004009817,7.716226e-7,8.544061e-7,4.800745e-7,0.004449708,0.00000653596,0.00004266467,0.06061706,0.9307552,0.00003393542],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6700043,0.0007633819,0.001435035,0.01435194,0.0001089998,0.001770529,0.0001809551,0.0001542377,0.3112306],"genre_scores_gemma":[0.9922082,0.0001854482,0.0001942632,0.0001010365,0.000164934,0.0002426918,0.000006543775,0.00000366533,0.006893163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8835034,"threshold_uncertainty_score":0.9985935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05612118980162521,"score_gpt":0.3878338802696603,"score_spread":0.3317126904680351,"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."}}