{"id":"W6986790929","doi":"","title":"Recovery After Hurricane Katrina: Employment in the Gulf Coast Area","year":2007,"lang":"en","type":"other","venue":"eCommons (Cornell University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storm; Hurricane katrina; Census; Storm surge; Quarter (Canadian coin); Natural disaster; Job loss","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005904628,0.0007566764,0.0007251392,0.004549214,0.0001020738,0.0000694775,0.001620276,0.0005930338,0.007378019],"category_scores_gemma":[0.00002940507,0.0007160207,0.0003899014,0.003559775,0.0002823361,0.0001590273,0.0004776216,0.001034531,0.007990429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034386,"about_ca_system_score_gemma":0.0001473655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214578,"about_ca_topic_score_gemma":0.05175506,"domain_scores_codex":[0.9968748,0.0004693863,0.0003537332,0.0009915923,0.0003703687,0.0009401157],"domain_scores_gemma":[0.9973347,0.0002441166,0.0004391113,0.001719848,0.00004866009,0.0002135944],"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":[0.0005702958,0.000715733,0.02228762,0.00004120876,0.0002386775,0.004950662,0.0002649517,0.0003444592,0.000003731674,0.001225093,0.9689457,0.0004118778],"study_design_scores_gemma":[0.001239296,0.0001685839,0.007027477,0.0002590261,0.0002142803,0.00003239154,0.0005544839,0.00001757919,0.000003703749,0.0001495741,0.98948,0.0008535749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01056365,0.0005152815,0.0002819338,0.0000541241,0.0004584258,0.0009577819,0.0009571601,0.0004364627,0.9857752],"genre_scores_gemma":[0.1084085,0.0002519477,0.0001202424,0.0002414842,0.0002828822,0.000006316643,0.0001905621,0.0009378608,0.8895602],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09784489,"threshold_uncertainty_score":0.9995291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03113614200368335,"score_gpt":0.2080307717945796,"score_spread":0.1768946297908962,"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."}}