{"id":"W3142548895","doi":"10.1088/1755-1315/650/1/012087","title":"Analysis of the current positions of pea crop in the Russian market","year":2021,"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":"Crop; Context (archaeology); Russian federation; Yield (engineering); Geography; China; Agricultural economics; Agricultural science; Biology; Forestry; Economics; Regional science","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":[0.0001520105,0.00007066278,0.0001123545,0.00001386624,0.0002280859,0.0000437592,0.0002705848,0.00001626891,0.0004036446],"category_scores_gemma":[0.00001123108,0.00002036282,0.00005404308,0.0009600149,0.0007562186,0.0001589626,0.0001337837,0.00006474586,7.695505e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006275771,"about_ca_system_score_gemma":0.00001695486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001155646,"about_ca_topic_score_gemma":0.001656052,"domain_scores_codex":[0.9992436,0.00005715217,0.0001452536,0.000148921,0.0002541872,0.0001508863],"domain_scores_gemma":[0.9997913,0.00003821737,0.0000659946,0.00005994769,0.00000858294,0.00003593911],"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":[0.00001875446,0.0001734036,0.2663652,0.00001019335,0.00003387314,0.000002110972,0.003605248,0.00002534883,0.6408642,0.005108325,0.00005137121,0.08374199],"study_design_scores_gemma":[0.0000223113,0.00002608902,0.9769479,0.000010991,0.00002271711,0.000003097163,0.001509449,0.00002987642,0.0196218,0.00007949586,0.001671479,0.00005477595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955096,0.000155375,2.77487e-7,0.001655826,0.00003461645,0.0000644075,0.00007031087,0.000002002813,0.002507568],"genre_scores_gemma":[0.999257,0.0003823878,0.00001364545,0.00005895788,0.000009012539,0.000002991088,0.00002036959,1.381883e-7,0.0002555066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7105827,"threshold_uncertainty_score":0.4419626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202519648403581,"score_gpt":0.1957661612432967,"score_spread":0.1837409647592609,"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."}}