{"id":"W4322394237","doi":"10.5281/zenodo.7677890","title":"COMPETITIVENESS OF THE GAÚCHO ORIZRICULTURAL SECTOR (2010-2022)","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":[0.0007543353,0.0001841543,0.0001705775,0.00103354,0.0002320492,0.00125934,0.0002238661,0.0002900107,0.001864576],"category_scores_gemma":[0.001142948,0.0000771086,0.0003726429,0.002118594,0.0003148688,0.0004342996,0.0006210364,0.0001641289,0.0003316762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483736,"about_ca_system_score_gemma":0.001375333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04667255,"about_ca_topic_score_gemma":0.08406863,"domain_scores_codex":[0.9996781,0.0000462926,0.00001569642,0.00005144036,0.00007912803,0.0001292694],"domain_scores_gemma":[0.9995379,0.00005790069,0.0001819566,0.00003145779,0.0001030339,0.00008765492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002489551,0.00005467545,0.9369158,0.0002016975,0.0001522919,0.0008004972,0.001966881,0.001245376,0.004259396,0.007514929,0.002272151,0.04436731],"study_design_scores_gemma":[0.000003481536,0.00003730895,0.9856673,0.00002326235,0.0000259281,0.0002377133,0.001346743,0.0005461963,0.0003715721,0.0001807997,0.0115533,0.000006343086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828949,0.0007842551,0.0001625262,0.0003508932,0.00001300991,0.0000121745,0.001411804,0.00001377427,0.01435678],"genre_scores_gemma":[0.9970873,0.0002809584,0.0002132801,0.00003290309,0.000006181835,0.000004674067,0.0008660361,0.000005816443,0.001502909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04667255,"threshold_uncertainty_score":0.09280175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04787795729958196,"score_gpt":0.2136149359534883,"score_spread":0.1657369786539063,"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."}}