{"id":"W4233470075","doi":"10.1088/1755-1315/604/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Political science; State (computer science); Agriculture; Enthusiasm; Library science; Livestock; Agrarian society; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.00005934415,0.0001194036,0.00009597519,0.000003962561,0.0003885306,0.0001363367,0.0002317236,0.00003053451,0.0008073991],"category_scores_gemma":[0.00001324579,0.00004409578,0.00001953321,0.0002007887,0.0005922299,0.0005448453,0.0001823119,0.00006704815,0.00007638644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006549151,"about_ca_system_score_gemma":0.000008335868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003850441,"about_ca_topic_score_gemma":0.00005526255,"domain_scores_codex":[0.9990811,0.00001198316,0.000100364,0.0002878231,0.0002347332,0.0002840293],"domain_scores_gemma":[0.9996415,0.00001367135,0.0000340284,0.00002522502,0.000006918192,0.0002786517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001161977,0.000007077456,0.003175836,0.000001747513,0.000001355203,0.000001323294,0.0005972816,0.000001089096,0.9509609,0.0004252539,0.00008077293,0.04473579],"study_design_scores_gemma":[0.00006473786,0.0002585518,0.7422137,0.000005459379,0.000003021986,0.00001210652,0.00214409,0.00005323435,0.1866141,0.00006179354,0.0683297,0.0002394807],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920599,0.00006950917,8.501656e-7,0.004512507,0.00003541938,0.00009596771,0.00002488907,0.00004328437,0.003157598],"genre_scores_gemma":[0.998108,0.0002456435,0.0001022314,0.0007484859,0.00006866096,0.000003735901,0.00001996417,3.487685e-7,0.0007029834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7643467,"threshold_uncertainty_score":0.8840454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0188061647134079,"score_gpt":0.1755577123790523,"score_spread":0.1567515476656444,"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."}}