{"id":"W2944321487","doi":"10.6000/1927-520x.2019.08.01.2","title":"Feasibility of Artificial Insemination Network for Egyptian Buffalo Development","year":2019,"lang":"en","type":"article","venue":"Journal of Buffalo Science","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial insemination; Biology; Pregnancy; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001508287,0.0001767498,0.0001251395,0.0004350458,0.0002754739,0.0006118967,0.0004983812,0.000270555,0.002256649],"category_scores_gemma":[0.002644111,0.00005571486,0.0001420136,0.0003434424,0.0001992692,0.0005311291,0.0003520363,0.0001788886,0.0001917424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008987217,"about_ca_system_score_gemma":0.001843201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003935671,"about_ca_topic_score_gemma":0.009092424,"domain_scores_codex":[0.9991413,0.0003879674,0.0000477598,0.00009412308,0.0002552593,0.0000735236],"domain_scores_gemma":[0.998543,0.0006012891,0.0003880032,0.00005385661,0.0002890228,0.0001248023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001071832,0.0009181116,0.2927714,0.001485765,0.0001222183,0.001101321,0.000865014,0.01077156,0.02582943,0.003328115,0.00361288,0.6581224],"study_design_scores_gemma":[0.0002232702,0.01094165,0.7973041,0.001245526,0.0004563516,0.00213521,0.006824119,0.05063551,0.03836406,0.004536699,0.08724184,0.00009163322],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555497,0.005674108,0.01817202,0.001732604,0.00008379016,0.0009006686,0.0008740008,0.0001082266,0.0169049],"genre_scores_gemma":[0.9834236,0.002223928,0.01197465,0.00008829494,0.000030423,0.0002151826,0.0002829275,0.00000500118,0.001756013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003935671,"threshold_uncertainty_score":0.007976651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025190117902527,"score_gpt":0.2728480016089081,"score_spread":0.2476578837063811,"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."}}