{"id":"W3208701277","doi":"10.1071/rd21284","title":"Ethics and animal reproductive technologies","year":2021,"lang":"en","type":"article","venue":"Reproduction Fertility and Development","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"","keywords":"Reproductive technology; Animal ethics; Ethical issues; Reproductive immunology; Emerging technologies; Animal production; Animal welfare; Bioethics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001299949,0.0001743016,0.0003151324,0.0001152539,0.0004308618,0.00002879393,0.0000376363,0.0002480373,0.00001400525],"category_scores_gemma":[0.006538054,0.0001532969,0.0000233466,0.0003233629,0.0004144845,0.0001310102,0.000219923,0.000766538,0.000009551937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008462875,"about_ca_system_score_gemma":0.0004874693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009818118,"about_ca_topic_score_gemma":0.000005631091,"domain_scores_codex":[0.9976141,0.00007843902,0.0003503039,0.001447165,0.0002479969,0.0002620268],"domain_scores_gemma":[0.9984548,0.00005692332,0.00007666486,0.0008537158,0.0004817646,0.00007612114],"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":[0.001690847,0.0006936337,0.2276852,0.001882336,0.0002420798,0.0001301633,0.005207807,9.147618e-7,0.03850897,0.002493453,0.0006045543,0.7208601],"study_design_scores_gemma":[0.000313893,0.0001129227,0.6301541,0.00005067901,0.00001777347,0.0004267007,0.003352423,0.000001759481,0.3083196,0.001870756,0.05523462,0.0001447631],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449435,0.01013018,0.0001534915,0.04301861,0.0001758673,0.0003655433,0.000001102438,0.0006743012,0.0005373324],"genre_scores_gemma":[0.9814125,0.001373562,0.01631904,0.0001520107,0.00005551007,0.00004890986,0.00001115689,0.00001171521,0.0006156474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7207153,"threshold_uncertainty_score":0.7827134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07659782915186553,"score_gpt":0.3354619456525422,"score_spread":0.2588641165006766,"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."}}