{"id":"W4385311152","doi":"10.59962/9780774838894-001","title":"Acknowledgments","year":2019,"lang":"en","type":"book-chapter","venue":"University of British Columbia Press eBooks","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Trent University","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[],"category_scores_codex":[0.0001311114,0.00009935934,0.0003696559,0.00002924847,0.0003843807,0.0001227016,0.0004041153,0.0002895705,0.001336929],"category_scores_gemma":[0.00001722222,0.0002520269,0.0001950938,0.000005466209,0.0006701732,0.00009308019,0.0002509738,0.0001781928,0.00009930212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007410914,"about_ca_system_score_gemma":0.0002687228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2502339,"about_ca_topic_score_gemma":0.7095083,"domain_scores_codex":[0.9988927,0.00003847272,0.0001332676,0.0002815695,0.000399948,0.0002540601],"domain_scores_gemma":[0.9991534,0.00005995076,0.0001991153,0.0002259061,0.0002373061,0.0001242944],"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":[0.00004040621,0.0000701429,0.000902671,0.0003042543,0.000681006,0.0002714504,0.01922891,6.446823e-7,0.000002797578,0.0241513,0.7941009,0.1602455],"study_design_scores_gemma":[0.0004005674,0.00004428166,0.0005915071,0.0004392989,0.0001087349,0.000001442434,0.00106241,2.927982e-7,2.521299e-7,0.001408594,0.9956915,0.0002511049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001493035,0.0004764154,0.000004830545,0.000009506585,0.0002972786,0.0003781786,0.0003254088,0.00005854538,0.9969568],"genre_scores_gemma":[0.01024137,0.0007012129,0.00004174887,0.00003168706,0.00009064361,1.077122e-7,0.000009332587,0.00001787073,0.988866],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4592744,"threshold_uncertainty_score":0.9999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934594284730093,"score_gpt":0.2260794551431826,"score_spread":0.1967335122958817,"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."}}