{"id":"W4398301064","doi":"10.7910/dvn/fmk6sq/bhbbmy","title":"agreement_results1.rtf","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Methylene blue; Lymph; Staining; Degree (music); Methylene; Pathology; Medicine; Chemistry; Medicinal chemistry; Organic chemistry; Physics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003856417,0.002700323,0.002035988,0.005398081,0.001278982,0.004459738,0.004331646,0.003530581,0.3164039],"category_scores_gemma":[0.03438175,0.001276827,0.00241802,0.009373904,0.0007925255,0.002775324,0.003339322,0.002635147,0.2193824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002181311,"about_ca_system_score_gemma":0.003887147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02180568,"about_ca_topic_score_gemma":0.03636547,"domain_scores_codex":[0.9962538,0.001004857,0.0005102178,0.0009646744,0.0007403437,0.0005260591],"domain_scores_gemma":[0.9838014,0.008253552,0.001231628,0.003371287,0.002592118,0.0007500116],"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":[0.00004692042,0.00001258484,0.0004502107,0.0007893649,0.00003508364,0.000007910364,0.00001895731,0.000146359,0.00001957858,0.0005233872,0.9967405,0.001209107],"study_design_scores_gemma":[0.0006662771,0.00002626958,0.003437005,0.0008538947,0.00006950879,0.00004645366,0.00008389624,0.0003761801,0.0002042054,0.004111543,0.9900736,0.00005119756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003787395,0.00002721301,0.00005535615,0.00006423791,0.000017983,0.000008568027,0.9989123,0.0002857722,0.000590656],"genre_scores_gemma":[0.0004834929,0.00005221857,0.0003373607,0.0001089525,0.00001594338,0.0001917599,0.9975101,0.0003049822,0.0009952008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6835961,"threshold_uncertainty_score":0.9750669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1269183637960445,"score_gpt":0.3431787049445279,"score_spread":0.2162603411484834,"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."}}