{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002339487,0.0000590996,0.0001568672,0.0002477435,0.0009877853,0.00007161834,0.0000782019,0.00008110388,0.0001731897],"category_scores_gemma":[0.0001032043,0.00006396132,0.00002540593,0.0001207645,0.0008705239,0.000147663,0.00001098137,0.0001137731,0.000009349647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001214016,"about_ca_system_score_gemma":0.0003169391,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875054,"about_ca_topic_score_gemma":0.9999093,"domain_scores_codex":[0.9994116,0.0000444647,0.0001017889,0.0001403684,0.00009530027,0.000206472],"domain_scores_gemma":[0.9995602,0.00004246022,0.00004081608,0.00009266168,0.00007423675,0.0001895842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004526355,0.0001091915,0.53914,0.0001462392,0.0002111558,0.00009574819,0.1467328,0.000001443803,0.001843768,0.1591272,0.0331823,0.119365],"study_design_scores_gemma":[0.0001406947,0.0000395348,0.3152479,0.000008025409,0.00002311901,0.000003383377,0.004945539,0.000001877306,0.00000131479,0.0004187175,0.6790828,0.00008711266],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984867,0.001348047,7.015851e-7,0.001193954,0.0009713618,0.00006785998,0.00001628034,0.00001886207,0.01151587],"genre_scores_gemma":[0.9936795,0.002438799,0.00005353648,0.0001298182,0.0003196326,0.000003145062,0.000004192918,0.000004844338,0.003366525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6459004,"threshold_uncertainty_score":0.7597346,"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."}}