{"id":"W3013359955","doi":"10.5430/ijba.v11n2p17","title":"The Biodiesel Economic Indicators in Northern Brazil Based on Tocantins State","year":2020,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Biodiesel; Agency (philosophy); Biodiesel production; Biofuel; Relation (database); Business; Economics; Environmental science; Ecology; Microeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001327472,0.00007455939,0.00007120973,0.000052387,0.00004869925,0.00009522893,0.0003030285,0.00002320516,0.00009824565],"category_scores_gemma":[0.00005808291,0.00004548267,0.00003338925,0.0001839468,0.00004390168,0.0002287204,0.00002538492,0.0001002757,0.00007435316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000148486,"about_ca_system_score_gemma":0.00009192967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001254801,"about_ca_topic_score_gemma":0.0008024522,"domain_scores_codex":[0.9991801,0.000020604,0.0003120826,0.00008672054,0.0003209673,0.00007953613],"domain_scores_gemma":[0.999565,0.00004211257,0.0002787627,0.00003430124,0.00003009577,0.00004974966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000784924,0.0001441389,0.8936795,0.000004101666,0.00004019051,0.0001349628,0.0004046719,0.05025607,0.002546623,0.0001836581,0.005695694,0.04612548],"study_design_scores_gemma":[0.0004742618,0.00009738587,0.9774587,0.0000239002,0.000002840203,0.000009830025,0.00005282246,0.001623297,0.001703103,0.0001253811,0.01833758,0.0000909666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592208,0.000005436399,0.0001979896,0.03882479,0.0003597999,0.0000631829,0.000006060018,0.000004623665,0.001317312],"genre_scores_gemma":[0.9990863,0.00003083071,0.00008177256,0.0006130692,0.0001237795,0.000001785308,0.000009929217,0.000003603608,0.00004896825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08377914,"threshold_uncertainty_score":0.185473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006605862194758047,"score_gpt":0.2209290653680227,"score_spread":0.2143232031732647,"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."}}