{"id":"W288457765","doi":"","title":"Ernestine Shuswap Gets Her Trout","year":2006,"lang":"en","type":"article","venue":"Canadian ethnic studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trout; Trickster; nobody; Thursday; Prologue; Queen (butterfly); History; Politics; Joke; Charge (physics); Media studies; Literature; Art; Law; Sociology; Theology; Archaeology; Fish <Actinopterygii>; Political science; Fishery; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003074126,0.00009898912,0.000184951,0.0004242058,0.0009635079,0.00004252652,0.0001934113,0.00009177902,0.0005789082],"category_scores_gemma":[0.0002905332,0.000128896,0.00007351341,0.000291252,0.001012242,0.0001105212,0.00001557302,0.0001271649,0.0003937457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489778,"about_ca_system_score_gemma":0.001702311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955242,"about_ca_topic_score_gemma":0.9999787,"domain_scores_codex":[0.9987817,0.00007228609,0.0001577213,0.0002131434,0.0002087727,0.0005663072],"domain_scores_gemma":[0.9992206,0.00008138923,0.00004364673,0.0001554947,0.0001270697,0.000371778],"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":[0.000002690934,0.00001411075,0.0006178932,0.00002303591,0.00006922316,0.0002367769,0.02011682,0.000009869045,0.000008691853,0.03582982,0.7740966,0.1689745],"study_design_scores_gemma":[0.0001107534,0.000007686659,0.1013141,0.00001701458,0.00002236639,0.000001185677,0.004105085,7.009101e-7,9.287737e-7,0.001922275,0.892329,0.0001688756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02508836,0.4044452,0.000003211923,0.01453706,0.002286815,0.0003256707,0.00007223554,0.0001486535,0.5530928],"genre_scores_gemma":[0.3645787,0.020198,0.0001360602,0.003901829,0.003503676,0.00008618778,0.00001793878,0.0000559885,0.6075216],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3842472,"threshold_uncertainty_score":0.741062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08965721094307963,"score_gpt":0.3377074103657705,"score_spread":0.2480501994226908,"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."}}