{"id":"W2992765257","doi":"","title":"Classifying for profit : focus on genetics","year":2007,"lang":"en","type":"article","venue":"˜The œdairy mail/˜The œDairy mail","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herd; Dividend; Profit (economics); Affect (linguistics); Focus (optics); Business; Economics; Biology; Microeconomics; Sociology; Finance; Ecology; Communication","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":[0.004740034,0.0003121935,0.0004320162,0.001486818,0.003541257,0.007919937,0.0009771205,0.002099012,0.01776697],"category_scores_gemma":[0.006921181,0.0001582885,0.0002139706,0.001252767,0.01027471,0.003844041,0.002249202,0.002548041,0.001879274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02109573,"about_ca_system_score_gemma":0.02539724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3231188,"about_ca_topic_score_gemma":0.4512955,"domain_scores_codex":[0.9979098,0.000461441,0.00002242659,0.0002067926,0.0007436256,0.0006557762],"domain_scores_gemma":[0.9898946,0.003292972,0.0003522594,0.0003623678,0.002271002,0.003826907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00005739686,0.0001066258,0.02251441,0.000307743,0.00003129572,0.0002439245,0.004480828,0.0009561628,0.002164335,0.4498877,0.1606815,0.3585683],"study_design_scores_gemma":[0.00002041526,0.00007516019,0.05553093,0.0008413899,0.00003336021,0.0002879586,0.009131878,0.001164714,0.000688777,0.2052336,0.7269204,0.00007146151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03140523,0.02259428,0.01237932,0.5752068,0.0009508472,0.00005214689,0.0001255743,0.0001708973,0.357115],"genre_scores_gemma":[0.7269017,0.03290611,0.007542473,0.1115549,0.002603176,0.00006565687,0.0001444525,0.0001858623,0.1180956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3231188,"threshold_uncertainty_score":0.642476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03759639502187084,"score_gpt":0.2492838461463485,"score_spread":0.2116874511244776,"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."}}