{"id":"W4416150342","doi":"10.1139/facets-2025-0092","title":"Fish and fishing in the Upper Severn River Watershed: listening to stories and exploring changes over time","year":2025,"lang":"en","type":"article","venue":"FACETS","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Canada Research Chairs","keywords":"Fishing; Fish <Actinopterygii>; Active listening; Government (linguistics); Watershed; Fish stock; Artisanal fishing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005407497,0.00006324609,0.00008494457,0.00007185865,0.001846519,0.0001237133,0.0001014047,0.00004942877,0.0000227873],"category_scores_gemma":[0.00001235352,0.00004396778,0.000008569647,0.0001488196,0.0000776462,0.0002344034,0.000005460467,0.0000832325,0.000006154583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007531945,"about_ca_system_score_gemma":0.0002831306,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05461729,"about_ca_topic_score_gemma":0.5048527,"domain_scores_codex":[0.9992737,0.0001192434,0.00007369124,0.0001486247,0.0001344369,0.0002503411],"domain_scores_gemma":[0.9997211,0.0001114552,0.00001887372,0.00007542051,0.00002582627,0.0000473919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003776372,0.000008058562,0.01106386,0.00001827707,0.000003482356,8.882046e-7,0.9851721,8.309012e-7,0.000006200977,0.002213875,0.0008414278,0.0006672484],"study_design_scores_gemma":[0.0001010451,0.00001625867,0.1038893,0.0000662813,0.000005682048,4.811479e-7,0.02990195,0.000005208294,0.00008554773,0.0003336041,0.8655037,0.00009095354],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793993,0.0001176689,0.000002642648,0.00688894,0.0003167468,0.0002582861,0.000003775901,0.0000196352,0.01299299],"genre_scores_gemma":[0.9840407,0.0009540147,0.00009187358,0.0009129287,0.0002197227,0.00001028923,0.000003092955,0.000004911722,0.01376247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9552701,"threshold_uncertainty_score":0.9994529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02827857248161991,"score_gpt":0.2958286752929023,"score_spread":0.2675501028112824,"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."}}