{"id":"W2943074061","doi":"10.5539/jas.v11n7p256","title":"Analysis of the Production Chain of Bean Culture in Brazil","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Araucária; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Business; Production (economics); Supply chain; Crop; Product (mathematics); Work (physics); Quality (philosophy); Agricultural economics; Agricultural science; Value chain; Yield (engineering); Beneficiation; Biotechnology; Marketing; Economics; Engineering; Biology; Agronomy; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006121569,0.0003411205,0.0003947077,0.009960691,0.0006307684,0.002113349,0.0002853035,0.0002098001,0.003374968],"category_scores_gemma":[0.002257656,0.0001774314,0.0005444421,0.01628752,0.0004823902,0.00105528,0.0004482336,0.0002420708,0.0004071861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002074346,"about_ca_system_score_gemma":0.004452305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03009009,"about_ca_topic_score_gemma":0.04765068,"domain_scores_codex":[0.9994499,0.0001117156,0.0001142677,0.00007864426,0.0002031145,0.00004237162],"domain_scores_gemma":[0.9987992,0.000478882,0.0002563275,0.00004209247,0.0003909259,0.0000325415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001632539,0.00007835987,0.02269618,0.06814854,0.0002579813,0.002981608,0.01667816,0.0007780307,0.008983097,0.02086763,0.01420804,0.8441592],"study_design_scores_gemma":[0.000008877832,0.0001294869,0.07484646,0.03275327,0.000774735,0.002726628,0.009663095,0.0002664026,0.002240966,0.00231519,0.8742285,0.00004632562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.05441778,0.8613676,0.001098098,0.001786231,0.0002701591,0.0001008945,0.002157606,0.00004058596,0.078761],"genre_scores_gemma":[0.1637165,0.8278888,0.002217628,0.0004160427,0.00008817975,0.00005007258,0.001110632,0.00002262312,0.004489432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03009009,"threshold_uncertainty_score":0.05982989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022039930758788,"score_gpt":0.217729476729604,"score_spread":0.2075090774220161,"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."}}