{"id":"W2340188591","doi":"","title":"RELACIÓN ENTRE EL NIVEL DE TECNOLOGÍA Y LOS ÍNDICES DE PRODUCTIVIDAD EN FINCAS GANADERAS DE DOBLE PROPÓSITO LOCALIZADAS EN LA CUENCA DEL LAGO DE MARACAIBO Relationship Between Level of Technology and Productivity Índices of Dual-Purpose Cattle Farms Located on The Maracaibo Lake Basin","year":2009,"lang":"es","type":"article","venue":"","topic":"Agricultural and Food Production Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Agricultural science; Profit (economics); Herd; Gross profit; Welfare economics; Mathematics; Geography; Economics; Animal science; Biology; Economic growth","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":[0.0003212295,0.0003219082,0.0002072644,0.001278245,0.0003267749,0.0009741047,0.0002319335,0.0002088176,0.001027636],"category_scores_gemma":[0.0008414232,0.000161406,0.0002010041,0.001454795,0.0004731265,0.0002023141,0.0004349561,0.0001811733,0.0001193136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003939,"about_ca_system_score_gemma":0.0005769597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1086757,"about_ca_topic_score_gemma":0.2263622,"domain_scores_codex":[0.9998205,0.00002504249,0.00001003735,0.00004981291,0.00004039824,0.00005421303],"domain_scores_gemma":[0.9995803,0.00009382165,0.0001449822,0.00001790881,0.00009425104,0.00006869522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000149423,0.00003073792,0.9831277,0.00003324081,0.0000385535,0.0001675154,0.001345749,0.0003217203,0.003813665,0.0001298051,0.00005878186,0.01078303],"study_design_scores_gemma":[0.000001900478,0.00002467303,0.9980056,0.000008873765,0.00001041683,0.00004500036,0.0009000604,0.0003440775,0.0001684821,0.00002383985,0.0004643697,0.000002731054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993638,0.00008369712,0.00003814422,0.000005506169,6.329356e-7,0.000002376427,0.0000661091,0.000002770905,0.0004369502],"genre_scores_gemma":[0.998989,0.0001000131,0.0001833188,0.000002624808,0.00000204777,0.000006642726,0.0001149905,0.000001507098,0.0005999022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1086757,"threshold_uncertainty_score":0.2160863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923676940564494,"score_gpt":0.2688923997760332,"score_spread":0.2296556303703882,"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."}}