{"id":"W7095952718","doi":"","title":"Case Study of Dairy Production in Coastal British Columbia","year":2006,"lang":"en","type":"article","venue":"","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Greenhouse gas; Dairy farming; Production model; Greenhouse; Milk production; Dairy cattle","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":[0.0005177393,0.0006917453,0.0006361442,0.000563832,0.00184258,0.001377239,0.001993116,0.001306537,0.002861283],"category_scores_gemma":[0.0009934442,0.0005552846,0.0004914292,0.00167812,0.0007827217,0.0005416377,0.0005871939,0.0008310019,0.0002036154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008738534,"about_ca_system_score_gemma":0.005460605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8404524,"about_ca_topic_score_gemma":0.8788578,"domain_scores_codex":[0.9997428,0.00008455262,0.00001151519,0.00004635015,0.00004286304,0.00007180207],"domain_scores_gemma":[0.9992881,0.0003717432,0.00003532471,0.00005364015,0.0001635197,0.00008760344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003808659,0.0008382586,0.04635302,0.000106518,0.0001464657,0.002274995,0.000395974,0.9325318,0.00295714,0.001333249,0.002284084,0.01039753],"study_design_scores_gemma":[0.0001485791,0.0001871063,0.02989507,0.00001784844,0.00006998517,0.000106956,0.002098075,0.9635278,0.001566432,0.0005336053,0.001802868,0.00004564649],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950421,0.00005144046,0.0007020614,0.0001396364,0.00000502446,0.00004322324,0.0004709836,0.00004596257,0.003499576],"genre_scores_gemma":[0.9944918,0.00009048906,0.001898827,0.00003275166,0.000002167317,0.00003285373,0.000334453,0.00001694845,0.003099734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1595476,"threshold_uncertainty_score":0.3209744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005761144551154151,"score_gpt":0.1991749045870691,"score_spread":0.193413760035915,"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."}}