{"id":"W4243582961","doi":"10.5860/crln.80.11.682","title":"Fast Facts","year":2019,"lang":"en","type":"article","venue":"College & Research Libraries News","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reputation; Library science; Political science; Computer science; Law","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009619004,0.0001260436,0.0002293774,0.0002067839,0.001344771,0.0005550658,0.0005708296,0.000112475,0.002940935],"category_scores_gemma":[0.0009173171,0.0001093995,0.00008122503,0.001073083,0.0008589086,0.001501905,0.0003897571,0.0003389836,0.003230175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006326199,"about_ca_system_score_gemma":0.001053917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001525886,"about_ca_topic_score_gemma":0.002380938,"domain_scores_codex":[0.9967643,0.0006050085,0.0001903729,0.0003148897,0.001129188,0.0009962412],"domain_scores_gemma":[0.998149,0.0008893342,0.0000369279,0.000380048,0.0001843549,0.0003603836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001171476,0.00009324357,0.05328545,0.00003261948,0.00003948907,0.00002704885,0.04650099,0.000001741601,0.0001018445,0.4623414,0.4277166,0.009742452],"study_design_scores_gemma":[0.0003384474,0.000148209,0.007232225,0.00002117058,0.000002065153,4.317687e-7,0.1010779,0.00000484135,0.0001459435,0.0102121,0.8806725,0.0001441955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3159233,0.0006691513,0.000006317086,0.009759836,0.0002971053,0.0005748894,0.00002962623,0.00009960704,0.6726401],"genre_scores_gemma":[0.8427116,0.0002624447,0.000150096,0.0005890667,0.000363048,0.00002825678,0.000004624208,0.00001704345,0.1558738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5267883,"threshold_uncertainty_score":0.9999554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09869219939875558,"score_gpt":0.3876140237849914,"score_spread":0.2889218243862359,"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."}}