{"id":"W2555440740","doi":"10.1371/journal.pbio.2000391","title":"Animal Study Registries: Results from a Stakeholder Analysis on Potential Strengths, Weaknesses, Facilitators, and Barriers","year":2016,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Animal testing and alternatives","field":"Veterinary","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Stakeholder; Strengths and weaknesses; Checklist; Serendipity; Confidentiality; Translational research; Public relations; Engineering ethics; Psychology; Political science; Biology; Biotechnology; Engineering; Social psychology","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":[0.0001968563,0.0002312202,0.00039628,0.0001566375,0.0001450972,0.00002742025,0.0002022698,0.0001024236,0.000211218],"category_scores_gemma":[0.001580219,0.0001487704,0.00007370484,0.00019815,0.0002546371,0.00007468997,0.0001195219,0.0001296296,0.00003854288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003258092,"about_ca_system_score_gemma":0.00003082349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008692978,"about_ca_topic_score_gemma":0.00009497027,"domain_scores_codex":[0.9980595,0.0003720921,0.000355294,0.0007824909,0.0001318763,0.0002987434],"domain_scores_gemma":[0.9983151,0.0009201355,0.0001659911,0.0003935323,0.00005989853,0.0001453567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01975859,0.001018308,0.7972502,0.00001964082,0.007625191,0.0007984175,0.004798867,0.000004973508,0.154973,0.0007002907,0.00149792,0.01155456],"study_design_scores_gemma":[0.01187713,0.03701286,0.9206676,0.0001887102,0.002136963,0.00002702624,0.01351003,0.000585355,0.00271821,0.001535797,0.008060405,0.0016799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954932,0.00009378399,0.00009100459,0.0003933987,0.00006637893,0.0001644419,0.003279878,0.000130982,0.0002869163],"genre_scores_gemma":[0.9992715,0.00002729791,0.0001337364,0.00003213951,0.0001431807,0.00001653915,0.00006956037,0.00001459721,0.0002914564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1522548,"threshold_uncertainty_score":0.606668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1258652995287574,"score_gpt":0.3529747915782739,"score_spread":0.2271094920495165,"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."}}