{"id":"W7021693285","doi":"","title":"Radio","year":2006,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Radio broadcasting; The Internet; Radio communications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003868795,0.0008175708,0.000417945,0.001786885,0.001762664,0.002586949,0.0008117399,0.001090782,0.7384341],"category_scores_gemma":[0.001454323,0.0002381833,0.0002875874,0.001271319,0.0003147031,0.00134938,0.001379051,0.001486993,0.5195146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005611425,"about_ca_system_score_gemma":0.0005521057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006841781,"about_ca_topic_score_gemma":0.02195681,"domain_scores_codex":[0.9997208,0.00002902048,0.000007934068,0.00005397935,0.0001324843,0.00005566549],"domain_scores_gemma":[0.9993696,0.00008679575,0.0000249782,0.00009461171,0.0002792212,0.0001447977],"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":[0.00007177203,0.00001753997,0.00009511424,0.00005072928,0.000002316317,0.00005330502,0.00007399476,0.00004343109,0.0004411745,0.001394329,0.9559267,0.04182947],"study_design_scores_gemma":[0.0000138997,0.00001323742,0.0007483671,0.00002329223,0.000002156618,0.00004905249,0.00006857697,0.00004182027,0.0001204663,0.000232542,0.9986822,0.000004362217],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005777593,0.0002609627,0.0009144283,0.0009702564,0.001662647,0.00008196518,0.01177858,0.0012022,0.9825512],"genre_scores_gemma":[0.003511535,0.0002202594,0.0005176942,0.0005618553,0.0006452992,0.00005155827,0.007267797,0.0004780666,0.9867459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2615659,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005754057989131194,"score_gpt":0.1784066996420416,"score_spread":0.1726526416529104,"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."}}