{"id":"W2564758182","doi":"10.4000/erea.5311","title":"“Dusk can be a magical time in the French Quarter”: Richard Ford’s New Orleans before and after Katrina in “Puppy” and “Leaving for Kenosha”","year":2016,"lang":"en","type":"article","venue":"E-rea","topic":"Philippine History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ECW Press (Canada)","funders":"","keywords":"Hurricane katrina; Quarter (Canadian coin); Narrative; History; Dusk; Timeline; Art history; Art; Literature; Geography; Natural disaster; Archaeology; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001488523,0.0006168898,0.0002727619,0.000641051,0.02133871,0.006006126,0.0008231535,0.001814158,0.004373659],"category_scores_gemma":[0.002023071,0.000278589,0.000222717,0.0006630136,0.01867695,0.00360906,0.00292151,0.004581819,0.0007463024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230355,"about_ca_system_score_gemma":0.003202835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1470726,"about_ca_topic_score_gemma":0.2209719,"domain_scores_codex":[0.9982677,0.001178419,0.00001271237,0.00009634969,0.0001180783,0.0003267934],"domain_scores_gemma":[0.9990848,0.0002132981,0.0001083845,0.00004419211,0.000173026,0.0003762686],"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":[0.0000383945,0.0000230236,0.001293374,0.00003999237,0.000006208656,0.001894211,0.9307085,0.00006106803,0.0002385196,0.0355987,0.02407722,0.006020684],"study_design_scores_gemma":[0.000003822264,0.00003478766,0.002524242,0.00008965864,0.000005851709,0.0006807908,0.6794149,0.00006044085,0.0003272819,0.001187971,0.3156348,0.00003537412],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6555988,0.01359381,0.001285862,0.09103849,0.001535561,0.00003596625,0.0001092259,0.000168316,0.236634],"genre_scores_gemma":[0.9687001,0.001146428,0.0001373815,0.00272687,0.0001121444,0.00001105832,0.0000115132,0.00006854955,0.0270861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1470726,"threshold_uncertainty_score":0.2924331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172232936797846,"score_gpt":0.2485429530764886,"score_spread":0.2368206237085102,"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."}}