{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001871524,0.000198414,0.0002016981,0.0002278215,0.0009476104,0.000544318,0.002104111,0.0001863919,0.003766093],"category_scores_gemma":[0.000450347,0.0002167482,0.00005086584,0.0004678759,0.0001133258,0.00009095632,0.00140332,0.0007391126,0.01620905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156701,"about_ca_system_score_gemma":0.000001904197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006866971,"about_ca_topic_score_gemma":3.464578e-7,"domain_scores_codex":[0.9989239,0.00009300876,0.0002372124,0.000267221,0.000194685,0.0002839987],"domain_scores_gemma":[0.9987981,0.00002284785,0.00006198193,0.0008865512,0.000131138,0.00009932469],"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":[0.000004126739,0.00002067476,2.982229e-8,0.0001180023,0.00004568087,0.000008921467,0.000038715,0.00007267552,0.0000717064,0.00005634857,0.960039,0.03952408],"study_design_scores_gemma":[0.0001507237,0.00007091218,0.00001287068,0.00003900353,0.00001936927,0.00007162322,0.00004161573,0.0003106203,0.0000464689,0.00005321758,0.9989534,0.0002301681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003766247,0.0002351851,0.0006188757,0.0003137516,0.0001241126,0.0002313112,0.9890024,0.003740593,0.005696076],"genre_scores_gemma":[0.001001576,0.001215133,0.0005925971,0.00004556059,0.0001244234,4.596187e-8,0.9958991,0.001080382,0.00004116031],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03929392,"threshold_uncertainty_score":0.9971446,"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."}}