{"id":"W7162140667","doi":"10.82308/10423","title":"The competitiveness of Ontario dairy farms : a farm level analysis","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Production (economics); Sample (material); Milk production; Dairy industry; Breed; Estimation; Dairy farming","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":[0.0006002294,0.0001698763,0.0003912135,0.00124988,0.0009741496,0.00118245,0.0006240472,0.0002769684,0.003671556],"category_scores_gemma":[0.001882604,0.0001857723,0.0006432692,0.004707628,0.0004864035,0.0004211343,0.0005209374,0.0002602408,0.000238097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01953004,"about_ca_system_score_gemma":0.01083887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9560573,"about_ca_topic_score_gemma":0.9783417,"domain_scores_codex":[0.9990402,0.0000792638,0.00002658851,0.0001148522,0.0004371433,0.0003018655],"domain_scores_gemma":[0.9984224,0.000351716,0.0003508927,0.00008306025,0.0006282894,0.0001637112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008628177,0.00003263081,0.9858549,0.00003721477,0.00009630367,0.0001684349,0.0003606134,0.00539111,0.0004643466,0.0008696542,0.0009785574,0.005659841],"study_design_scores_gemma":[0.00000330268,0.00002422253,0.9949745,0.000004231208,0.00002322548,0.00001744825,0.0008895179,0.003024172,0.00005276534,0.00005628648,0.0009236583,0.000006606466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933941,0.00007931802,0.0002204342,0.00009451102,0.00000111472,0.00002827203,0.002882174,0.000003832643,0.003296304],"genre_scores_gemma":[0.9924469,0.0001466554,0.0003700146,0.00002105026,0.000002645553,0.00002236495,0.004467557,0.000004412664,0.002518422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04394275,"threshold_uncertainty_score":0.141701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405960799699221,"score_gpt":0.2329378859664077,"score_spread":0.2088782779694154,"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."}}