{"id":"W1541430358","doi":"","title":"Hard Ol’ Spot: An Anthology of Atlantic Canadian Fiction","year":2010,"lang":"en","type":"article","venue":"Newfoundland and Labrador Studies","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"History; Hot spot (computer programming); Genealogy; Art history; Art; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0006729567,0.0006325594,0.0004487648,0.002992584,0.01838204,0.00586483,0.001093774,0.001899197,0.01032368],"category_scores_gemma":[0.002529069,0.0002075955,0.0002770979,0.003607379,0.005513045,0.001083492,0.001542116,0.003565542,0.000621047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06635283,"about_ca_system_score_gemma":0.04137123,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.959551,"about_ca_topic_score_gemma":0.9920007,"domain_scores_codex":[0.9993439,0.00008057999,0.00001479211,0.00005251507,0.0002415419,0.0002666482],"domain_scores_gemma":[0.998872,0.000338307,0.00004775498,0.00002893286,0.0004674662,0.0002455246],"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":[0.00005210597,0.00001434622,0.0006008497,0.0001612659,0.00001180576,0.000349108,0.03029498,0.0001106596,0.0003677793,0.06408117,0.8789116,0.02504431],"study_design_scores_gemma":[0.000001727694,0.00000229486,0.001811332,0.00009435572,0.00000375697,0.00004671254,0.005974335,0.00002367753,0.00004681605,0.0004635017,0.9915215,0.00001012793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0361955,0.06436773,0.0009810587,0.142251,0.0300946,0.000107941,0.001114283,0.0001402744,0.7247475],"genre_scores_gemma":[0.3092902,0.02415991,0.001661962,0.02225755,0.007589864,0.00009881682,0.0004188773,0.000322418,0.6342005],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06635283,"threshold_uncertainty_score":0.4814257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0218483191590644,"score_gpt":0.2815026723336857,"score_spread":0.2596543531746213,"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."}}