{"id":"W2509342285","doi":"10.1071/rd16317","title":"Logistics of large scale commercial IVF embryo production","year":2016,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Business; Scale (ratio); Production (economics); General partnership; Agriculture; Operations management; Biotechnology; Agricultural science; Engineering; Biology; Economics; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003044365,0.0007200306,0.0008770303,0.001424243,0.001181685,0.002442578,0.001840884,0.0007870098,0.02559811],"category_scores_gemma":[0.00325298,0.0005307968,0.000883902,0.001246982,0.0006034562,0.001479457,0.002139023,0.001248535,0.01640798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001074417,"about_ca_system_score_gemma":0.003110608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001655139,"about_ca_topic_score_gemma":0.00264647,"domain_scores_codex":[0.9979169,0.0004352129,0.0002148246,0.0002388876,0.001032499,0.0001616951],"domain_scores_gemma":[0.9976711,0.0008919879,0.000367944,0.0003081782,0.0004931545,0.0002675865],"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":[0.0008826891,0.0002544866,0.007213484,0.004956334,0.00008711969,0.003105772,0.0009722933,0.003586043,0.07920116,0.006933253,0.03434936,0.858458],"study_design_scores_gemma":[0.0001404099,0.001923111,0.03407596,0.002621813,0.0002555883,0.01208892,0.003009578,0.005144798,0.07174578,0.008774065,0.8599713,0.0002486589],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1236973,0.1326964,0.5107002,0.01365562,0.004139918,0.006455872,0.006762332,0.007886219,0.1940062],"genre_scores_gemma":[0.2681908,0.1331328,0.5084951,0.00246242,0.001606069,0.005735466,0.01185341,0.001366847,0.0671571],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02559811,"threshold_uncertainty_score":0.08563423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041799823780451,"score_gpt":0.2967110170613119,"score_spread":0.2562930188235074,"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."}}