{"id":"W3021931309","doi":"","title":"Cowboys, Mermaids, and Interdisciplinary Art. Below the Radar podcast","year":2020,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Computer science; Remote sensing; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008748723,0.0003501773,0.0001812485,0.0008444722,0.007593235,0.006935429,0.0003865263,0.001104571,0.02828118],"category_scores_gemma":[0.001774944,0.00019922,0.0001562311,0.0007810348,0.004895065,0.002802894,0.004148873,0.002814713,0.002693802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002103894,"about_ca_system_score_gemma":0.001542793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01158814,"about_ca_topic_score_gemma":0.05309743,"domain_scores_codex":[0.9993038,0.0002721004,0.00001540221,0.00008875692,0.0001699534,0.0001499057],"domain_scores_gemma":[0.9994156,0.0001593403,0.00004904443,0.00006423375,0.00005519291,0.0002565122],"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":[0.00007279494,0.00007004981,0.0009320031,0.0001847698,0.000008547888,0.0002118573,0.08382122,0.00005737443,0.0005123002,0.3640259,0.4477122,0.102391],"study_design_scores_gemma":[0.000002905565,0.000008897831,0.001309486,0.00008973174,0.000001602144,0.00006777663,0.01653172,0.00001815073,0.0000597066,0.005915373,0.9759911,0.000003536205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01958928,0.03408816,0.00098065,0.03631176,0.004813271,0.00002884201,0.0001036142,0.0001342858,0.9039502],"genre_scores_gemma":[0.3735812,0.008565735,0.001051144,0.006484288,0.001883445,0.00004064858,0.00009241201,0.0002132712,0.6080879],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02828118,"threshold_uncertainty_score":0.09460998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930481482658547,"score_gpt":0.2375874739282685,"score_spread":0.2182826591016831,"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."}}