{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001951648,0.00008775298,0.0001967519,0.0001964675,0.00006948096,0.00004136843,0.0003258211,0.0000356461,0.0000309498],"category_scores_gemma":[0.000200404,0.0000821802,0.00006286001,0.0005636301,0.00009926566,0.0004752483,0.00002631963,0.0001086013,0.00001067304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002910318,"about_ca_system_score_gemma":0.0002641274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001786732,"about_ca_topic_score_gemma":0.000006051854,"domain_scores_codex":[0.9985134,0.00001193259,0.0006140537,0.0001192511,0.0005070131,0.0002343423],"domain_scores_gemma":[0.9988756,0.0001195504,0.0002647133,0.0001532996,0.0004944433,0.00009236181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00015938,0.0002134042,0.02745608,0.0003669425,0.00005755392,0.000002632789,0.004945561,0.3483703,0.5284465,0.006716489,0.002933905,0.08033133],"study_design_scores_gemma":[0.003058687,0.001164427,0.5241617,0.000724271,0.00008238028,0.00009588131,0.001932145,0.103545,0.3134075,0.02516371,0.02543648,0.001227868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709339,0.0001930707,0.02644412,0.00004558539,0.001478222,0.0002432536,0.000003554012,0.00001678848,0.0006414885],"genre_scores_gemma":[0.9669618,0.000005971545,0.03284057,0.00001668779,0.0001356028,0.000002962025,9.495913e-7,0.00000921363,0.00002626265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4967056,"threshold_uncertainty_score":0.3351211,"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."}}