{"id":"W4393846516","doi":"10.5281/zenodo.3897566","title":"Cleveland RadioSet","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Computer science","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":[0.001194452,0.001829535,0.001538411,0.003682324,0.001068316,0.002678843,0.003437116,0.002348211,0.0643964],"category_scores_gemma":[0.006750845,0.0006470664,0.001436077,0.004879606,0.0004333181,0.001613561,0.001983948,0.001824955,0.0838284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135744,"about_ca_system_score_gemma":0.001777557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01873617,"about_ca_topic_score_gemma":0.03951399,"domain_scores_codex":[0.9988686,0.0002345798,0.0001054034,0.000384917,0.000246024,0.000160546],"domain_scores_gemma":[0.9984736,0.000421906,0.0001583038,0.0004397024,0.0003347774,0.0001716671],"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":[0.00008445737,0.00001918078,0.001055066,0.0005779212,0.00005478414,0.00004081016,0.00002639681,0.0003412194,0.0001235787,0.0005752288,0.9943885,0.002712871],"study_design_scores_gemma":[0.0001960496,0.00003162662,0.003858802,0.0002921358,0.00005845442,0.0001390482,0.00007971338,0.0005772486,0.0002792236,0.001276318,0.9931758,0.00003569031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000300482,0.0001707207,0.0001002824,0.00009625043,0.00003995449,0.00001460386,0.9978262,0.0004745999,0.0009769769],"genre_scores_gemma":[0.0005595514,0.00007570889,0.0002568806,0.00006283297,0.00001005148,0.00006685964,0.9982222,0.0000994795,0.0006464873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0643964,"threshold_uncertainty_score":0.2154275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03947361568487601,"score_gpt":0.2293985552361888,"score_spread":0.1899249395513128,"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."}}