{"id":"W4391220989","doi":"10.3390/cli12020015","title":"Net Zero Dairy Farming—Advancing Climate Goals with Big Data and Artificial Intelligence","year":2024,"lang":"en","type":"article","venue":"Climate","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Big data; Zero (linguistics); Agriculture; Environmental science; Dairy farming; Environmental resource management; Meteorology; Agricultural science; Computer science; Geography; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004410783,0.0004312441,0.0003021242,0.00158366,0.001329601,0.007008971,0.001272713,0.001935177,0.00141481],"category_scores_gemma":[0.006445362,0.0002013798,0.0004626719,0.002660898,0.002784206,0.01111653,0.004695463,0.002382807,0.000369617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002724989,"about_ca_system_score_gemma":0.005140643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006565929,"about_ca_topic_score_gemma":0.01085444,"domain_scores_codex":[0.9980158,0.0007344084,0.00007805832,0.0001894618,0.0007633738,0.0002190348],"domain_scores_gemma":[0.9952076,0.002839502,0.000328114,0.0005165483,0.0007071299,0.0004011141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001398546,0.0001558943,0.01474422,0.001134533,0.0001123642,0.0005126601,0.00263813,0.01196364,0.004441756,0.5759668,0.03962747,0.3485626],"study_design_scores_gemma":[0.00001618542,0.00008201643,0.006516347,0.001237546,0.00004395142,0.0002431499,0.006711391,0.02699124,0.004524781,0.5627513,0.3908017,0.00008043837],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1253122,0.07085075,0.2542716,0.398775,0.003027152,0.0003148869,0.002181246,0.001187927,0.1440794],"genre_scores_gemma":[0.732563,0.0587205,0.1799108,0.01783429,0.001741776,0.0001574302,0.001282317,0.0001526134,0.00763722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007008971,"threshold_uncertainty_score":0.02332675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906195632127333,"score_gpt":0.2710146401755743,"score_spread":0.241952683854301,"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."}}