{"id":"W6964211548","doi":"10.25345/c5pk0763m","title":"MassIVE MSV000090936 - This is a test to see if symbol - works when submitting a job","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Test (biology); Symbol (formal); Field (mathematics)","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":[],"category_scores_codex":[0.001491715,0.004353082,0.001510662,0.003608807,0.001608437,0.00292564,0.00273151,0.002931715,0.1005739],"category_scores_gemma":[0.009839263,0.0009098961,0.001973343,0.003827993,0.0008105731,0.00248885,0.002398875,0.002100668,0.189939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001301925,"about_ca_system_score_gemma":0.002396906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01915773,"about_ca_topic_score_gemma":0.04766756,"domain_scores_codex":[0.9977417,0.0002972208,0.0001858978,0.0008124716,0.0005315762,0.000431154],"domain_scores_gemma":[0.995488,0.001043537,0.0001950772,0.00176806,0.0009378085,0.0005674323],"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":[0.0000779415,0.00002238633,0.0004931269,0.0001127894,0.00001507975,0.000008613078,0.00001001496,0.0001110504,0.00009523772,0.0001499344,0.9976851,0.001218785],"study_design_scores_gemma":[0.0009924851,0.0001105545,0.007818099,0.0002108398,0.00006468285,0.0001551784,0.0002696628,0.003150891,0.002303463,0.003856261,0.9809855,0.00008248522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001033652,0.0001381606,0.0002138774,0.0003161569,0.0003470298,0.00002334885,0.9895049,0.00546933,0.002953528],"genre_scores_gemma":[0.001306973,0.00003845457,0.0006873237,0.0001294409,0.00003629496,0.00003667226,0.9952466,0.0005828456,0.001935457],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8994261,"threshold_uncertainty_score":0.3364532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01658751980270099,"score_gpt":0.2618333779795342,"score_spread":0.2452458581768332,"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."}}