{"id":"W2309223378","doi":"10.2307/westhistquar.43.4.0463","title":"Divided Waters:","year":2012,"lang":"en","type":"article","venue":"Western Historical Quarterly","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"Core Research for Evolutional Science and Technology","keywords":"Fishing; Kinship; Fishery; Marine fisheries; Geography; Fisheries management; Space (punctuation); Environmental resource management; Business; Political science; Law; Economics; Biology; Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003136366,0.00007879706,0.0001407259,0.0002131409,0.0007113919,0.0001880385,0.0002121249,0.0001011852,0.0004484285],"category_scores_gemma":[0.00002709849,0.00009757481,0.00009161839,0.0001642725,0.0001752003,0.0005440634,0.000007275734,0.0001188978,0.001873577],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00439575,"about_ca_system_score_gemma":0.000134507,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3492331,"about_ca_topic_score_gemma":0.2985155,"domain_scores_codex":[0.9987303,0.0001208728,0.0001686483,0.0001416795,0.0003334262,0.0005050673],"domain_scores_gemma":[0.9992086,0.00004441389,0.00005060171,0.0001732297,0.00003137658,0.0004917315],"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":[0.00002991377,0.0004670706,0.0597431,0.00003774842,0.0000400518,0.00003396964,0.41971,2.149118e-7,0.0001786406,0.02698071,0.372913,0.1198655],"study_design_scores_gemma":[0.00009593774,0.00005210389,0.006927092,0.000004292363,0.0000126531,0.00000130238,0.0006409675,1.242407e-7,5.976797e-7,0.0001748282,0.9919484,0.0001417164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6418613,0.006074336,0.001825618,0.01694241,0.02682584,0.0007716438,0.00002698499,0.001088168,0.3045837],"genre_scores_gemma":[0.9049033,0.00001725874,0.00005514712,0.0003284815,0.001551788,0.00001384538,0.000002548465,0.00001377795,0.09311385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6190354,"threshold_uncertainty_score":0.9994262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256982959836926,"score_gpt":0.2467938177071866,"score_spread":0.2242239881088173,"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."}}