{"id":"W6999296377","doi":"","title":"Characteristics of population, occupations, and housing, city of Delano, California, 1959","year":2016,"lang":"en","type":"other","venue":"CSUN ScholarWorks (California State University, Northridge)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"San Joaquin; Population; Situated; Human settlement; Urban planning; Quarter (Canadian coin)","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":[0.0007495906,0.0009178037,0.001584173,0.00237054,0.0003284239,0.00008189604,0.0008355209,0.0008601057,0.002200355],"category_scores_gemma":[0.0002646245,0.000949226,0.0003335659,0.001113629,0.0008152795,0.0003910438,0.0007205738,0.0008606978,0.001012465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183518,"about_ca_system_score_gemma":0.0002978242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00273083,"about_ca_topic_score_gemma":0.003112217,"domain_scores_codex":[0.9955589,0.0004847094,0.001142133,0.001041749,0.0009852754,0.000787192],"domain_scores_gemma":[0.9945355,0.0001938159,0.002797185,0.001209264,0.0007550101,0.0005092305],"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":[0.0004690675,0.0002796994,0.936119,0.0005162856,0.0004316698,0.00006938229,0.0000875799,0.0000168558,0.00008715619,0.0002051135,0.05584799,0.005870258],"study_design_scores_gemma":[0.003613032,0.0001405886,0.2267385,0.002226886,0.0008725941,0.00001665349,0.0001015885,0.0001132934,0.00008675219,0.0002548454,0.7639816,0.001853676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6250374,0.001789049,0.01777639,0.0001324056,0.0009536105,0.002862574,0.2960176,0.001250655,0.05418039],"genre_scores_gemma":[0.8303284,0.005731024,0.004442429,0.0001240467,0.000550153,0.000006606781,0.01121961,0.002543776,0.145054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7093805,"threshold_uncertainty_score":0.9997653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00982215365983571,"score_gpt":0.2277942230314031,"score_spread":0.2179720693715674,"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."}}