{"id":"W7098920330","doi":"","title":"DIVERSITY: A FIELD STUDY 1","year":2014,"lang":"en","type":"article","venue":"","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Selection (genetic algorithm); Field (mathematics); Perception; Sample (material); Diversity (politics); Personality; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004630351,0.0006730343,0.0005668147,0.002677128,0.01543381,0.001932381,0.001668332,0.0008005279,0.002602194],"category_scores_gemma":[0.004318502,0.0007812827,0.0003444755,0.003584263,0.00330157,0.001161846,0.002204845,0.00179118,0.0005843939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02293875,"about_ca_system_score_gemma":0.03142578,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.901823,"about_ca_topic_score_gemma":0.9680582,"domain_scores_codex":[0.9973844,0.0006166605,0.00008744356,0.00036832,0.0006099454,0.0009332882],"domain_scores_gemma":[0.9922545,0.001266421,0.0008872775,0.000363827,0.003031407,0.00219659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007943723,0.01172785,0.70915,0.0002798826,0.00003685946,0.001537383,0.236336,0.0002229857,0.003203979,0.001064564,0.004784322,0.03086187],"study_design_scores_gemma":[0.0001032269,0.00164899,0.7511076,0.0001010641,0.00002233941,0.0001927607,0.2402019,0.0002331275,0.0005748614,0.0001938428,0.005560761,0.00005954751],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980657,0.00005186351,0.0001362383,0.00009992368,0.000004963145,0.0004770624,0.0002674107,0.000002821041,0.0008939987],"genre_scores_gemma":[0.9924638,0.0002400225,0.001229693,0.0007083885,0.00002340364,0.0005765273,0.0006669109,0.000006669122,0.004084405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.901823,"threshold_uncertainty_score":0.1975102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734730675550128,"score_gpt":0.1894100756841001,"score_spread":0.1720627689285988,"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."}}