{"id":"W139392952","doi":"","title":"Identificación por radiofrecuencia: inteligencia rentable para el sector cárnico","year":2010,"lang":"es","type":"article","venue":"Eurocarne: La revista internacional del sector cárnico","topic":"Law, logistics, and international trade","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova scotia; Geography; Archaeology","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":[0.00235527,0.0005960984,0.000416725,0.005320536,0.0008287063,0.003765092,0.0009890166,0.001121893,0.009488007],"category_scores_gemma":[0.01057304,0.0002172799,0.000432077,0.00557179,0.001418762,0.002042831,0.001423297,0.0008774741,0.0008372196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003338433,"about_ca_system_score_gemma":0.001769543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07349839,"about_ca_topic_score_gemma":0.05655812,"domain_scores_codex":[0.9984418,0.0003438042,0.0000822873,0.0002700321,0.0005886669,0.0002735329],"domain_scores_gemma":[0.9906357,0.004000118,0.001838763,0.0008240941,0.002465381,0.0002359384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003532698,0.0001285912,0.7398537,0.0004046367,0.00008166682,0.002233019,0.008727512,0.00791762,0.006132361,0.0460115,0.004946081,0.1832101],"study_design_scores_gemma":[0.00003203015,0.0002355402,0.8149475,0.000696392,0.0002217685,0.001917275,0.02982651,0.02875525,0.009575011,0.01607703,0.09760915,0.0001066533],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264897,0.002230453,0.007431964,0.001129877,0.00003782432,0.00004836175,0.0007324967,0.0000893832,0.06180999],"genre_scores_gemma":[0.986437,0.001219174,0.002576358,0.00007032543,0.00004722488,0.00002263728,0.0003573518,0.00002623214,0.009243666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07349839,"threshold_uncertainty_score":0.1461412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275076757657093,"score_gpt":0.2687373092189345,"score_spread":0.2412296334532252,"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."}}