{"id":"W6930106143","doi":"10.5281/zenodo.10551092","title":"Over 6 billion liters of Canadian milk wasted since 2012","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parasites and Host Interactions","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Yield (engineering); Balance (ability); Herd; Balance sheet; Production (economics)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002405622,0.0001989851,0.000237053,0.001404911,0.0008639701,0.0002195123,0.0008285077,0.0002936329,0.06038204],"category_scores_gemma":[0.00020563,0.0001963104,0.00009975463,0.0007773384,0.0002016278,0.0001516913,0.0005293068,0.0006780688,0.1074836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799691,"about_ca_system_score_gemma":0.00001821929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057174,"about_ca_topic_score_gemma":0.0007573033,"domain_scores_codex":[0.998561,0.0002561348,0.000309882,0.0003954153,0.00007769492,0.0003998839],"domain_scores_gemma":[0.998889,0.00003322271,0.0001361288,0.0005424378,0.0003030396,0.00009616248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004150228,0.00006588561,3.075316e-7,0.0001082655,0.0001877754,0.0000165433,0.0001703689,0.000002564283,0.007697048,0.0001903076,0.9892119,0.00230758],"study_design_scores_gemma":[0.0002169922,0.0001527136,0.00007128183,0.0001491678,0.00007610738,0.000170926,0.00008373459,0.000002965332,0.0003726328,0.00001379747,0.998504,0.0001856772],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000603566,0.001227794,0.000006418129,0.0004315594,0.00076249,0.000267267,0.9864973,0.0001473627,0.01005629],"genre_scores_gemma":[0.002142188,0.000691474,0.000007407463,0.0001171365,0.0000755956,4.420868e-8,0.9924721,0.0005183388,0.00397571],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04710152,"threshold_uncertainty_score":0.9960169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833253148176958,"score_gpt":0.2670147096573014,"score_spread":0.2386821781755318,"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."}}