{"id":"W2982750651","doi":"10.3167/nc.2019.140306","title":"Hesitant Recognition","year":2019,"lang":"en","type":"article","venue":"Nature and Culture","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Indexicality; Agriculture; Sustainability; Position (finance); Sustainable agriculture; Climate change; Field (mathematics); Sociology; Environmental ethics; Business; History; Linguistics; Ecology; Archaeology; Mathematics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006296172,0.000145488,0.0001363771,0.000004485424,0.000111125,0.00005645223,0.0001028685,0.0003889557,0.000509193],"category_scores_gemma":[0.000009512816,0.00003899368,0.00005172244,0.0001897925,0.0000107077,0.0001254488,0.00003719638,0.0003526723,0.0002643688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001388865,"about_ca_system_score_gemma":0.000002801145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007092392,"about_ca_topic_score_gemma":0.00004973183,"domain_scores_codex":[0.9992332,0.00002210684,0.0001057066,0.0002706021,0.0001771382,0.000191252],"domain_scores_gemma":[0.9997644,0.00002183694,0.00004491543,0.00003128483,0.00005638129,0.00008116943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000291989,0.0002776305,0.06187113,0.00009541389,0.0001553098,0.00004450905,0.001829086,4.833494e-7,0.1775172,0.01352589,0.2813584,0.463033],"study_design_scores_gemma":[0.0002696889,0.0002643756,0.4029687,0.00006310426,0.00002063752,0.00005524599,0.0006002247,0.00000296883,0.006114025,0.02311751,0.5660961,0.0004274523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899297,0.001548853,1.334714e-7,0.0008914029,0.0002078841,0.0002074105,0.00003073949,0.00007219811,0.007111669],"genre_scores_gemma":[0.9918774,0.0002320348,0.0001337786,0.001480041,0.0002843773,0.000008049796,0.0003073387,7.118707e-7,0.005676229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4626055,"threshold_uncertainty_score":0.5575306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006182037937389327,"score_gpt":0.1835710392303571,"score_spread":0.1773890012929678,"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."}}