{"id":"W4251277362","doi":"10.1515/iupac.88.0670","title":"Decidual Cell Response Technique","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Data mining; Philosophy","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":[0.003043815,0.00129177,0.001540255,0.003977429,0.0009448068,0.003047552,0.003314177,0.001939428,0.07131915],"category_scores_gemma":[0.01578438,0.0006355292,0.002338897,0.004697218,0.0005347201,0.001380114,0.002181957,0.002359793,0.07308893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00113459,"about_ca_system_score_gemma":0.003384845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007860045,"about_ca_topic_score_gemma":0.01688937,"domain_scores_codex":[0.9970345,0.0005594501,0.000687911,0.0008516907,0.0005888995,0.0002774021],"domain_scores_gemma":[0.9935325,0.002705431,0.0007501457,0.001759891,0.0009934496,0.0002584474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005543796,0.00006528782,0.00510804,0.005639566,0.0001970473,0.00009137996,0.00008634198,0.0006580308,0.0009400599,0.002271584,0.9534112,0.0309771],"study_design_scores_gemma":[0.0002547602,0.00003385674,0.004621458,0.0009131027,0.0001117701,0.000143015,0.00007042475,0.0003195342,0.00100188,0.002110329,0.9903885,0.00003149208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000435999,0.0006360347,0.0008873233,0.0001512768,0.0001071162,0.0001204782,0.9944847,0.0007710122,0.002405999],"genre_scores_gemma":[0.001499293,0.0004810755,0.002744725,0.0003406921,0.00003538682,0.0008358848,0.991625,0.0002160507,0.00222187],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07131915,"threshold_uncertainty_score":0.2385863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265527827724572,"score_gpt":0.4019159741987244,"score_spread":0.3892606959214787,"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."}}