{"id":"W6929657365","doi":"10.5061/dryad.c67v440","title":"Data from: Would an RRS by any other name sound as RAD?","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Consistency (knowledge bases); Misattribution of memory; Shotgun sequencing; Representation (politics); Sampling (signal processing); Term (time); Restriction enzyme","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":[0.00372739,0.001010937,0.001215729,0.004713665,0.0008675837,0.002807881,0.002020771,0.001768755,0.09278736],"category_scores_gemma":[0.02874456,0.0004862102,0.001274898,0.008787703,0.000581236,0.001680265,0.002209969,0.00161016,0.05126452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185062,"about_ca_system_score_gemma":0.004563072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134659,"about_ca_topic_score_gemma":0.02240884,"domain_scores_codex":[0.9969764,0.0006933043,0.0008130043,0.0007853115,0.000481046,0.000250845],"domain_scores_gemma":[0.9892188,0.004379967,0.002043786,0.001881775,0.001846654,0.0006290573],"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":[0.0004266697,0.0000216829,0.007152819,0.005804991,0.0001494014,0.00009681487,0.0001563108,0.0002804495,0.000337079,0.002643509,0.9736545,0.009275752],"study_design_scores_gemma":[0.0002211385,0.00001553632,0.006551631,0.001026977,0.00007467367,0.0001034222,0.00009803188,0.0001326638,0.0003096625,0.001799432,0.989643,0.00002388754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003108722,0.0001971489,0.0002105074,0.0003154225,0.00005721406,0.0000320654,0.9977522,0.0001693715,0.0009551761],"genre_scores_gemma":[0.0013999,0.0002372892,0.0009256109,0.0002981865,0.00002580046,0.0002617168,0.9956482,0.00010281,0.001100384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09278736,"threshold_uncertainty_score":0.3104046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06545752983528819,"score_gpt":0.3653275665455998,"score_spread":0.2998700367103116,"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."}}