{"id":"W7066926928","doi":"","title":"102.7 KIIS FM Los Angeles Airchecks January 2025","year":2025,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Text and Document Classification Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Thursday; Set (abstract data type); Collectable","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002229217,0.001066447,0.0009815589,0.002011389,0.00006098835,0.0005223573,0.006550595,0.0004381539,0.00408967],"category_scores_gemma":[0.0001770489,0.0009989099,0.0006014403,0.0004409998,0.0007004353,0.0002965911,0.004065115,0.001290699,0.002355156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001081581,"about_ca_system_score_gemma":0.0002551284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005468148,"about_ca_topic_score_gemma":0.007445069,"domain_scores_codex":[0.9951129,0.0003404611,0.0009065083,0.001993522,0.0006610416,0.0009855783],"domain_scores_gemma":[0.9961184,0.000510531,0.0006692629,0.002375489,0.00006391766,0.0002624459],"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":[0.00003396314,0.0001542423,0.0002726119,0.0001505659,0.000314272,0.00008511434,0.0004297534,0.000001356733,0.0001238848,0.1280306,0.8554156,0.01498803],"study_design_scores_gemma":[0.000538131,0.000195952,0.0004406853,0.001183926,0.00005574195,0.0000203503,0.00005326092,0.003474266,0.001759856,0.0265482,0.9647897,0.0009398745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00001572252,0.0008083791,0.3626557,0.0005664303,0.001038842,0.0006561557,0.000585758,0.001958112,0.6317149],"genre_scores_gemma":[0.002900743,0.0003580901,0.02919425,0.0006892677,0.0003309267,0.0001732983,0.0004304531,0.0002427498,0.9656802],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3339654,"threshold_uncertainty_score":0.9992461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582120061400728,"score_gpt":0.2568254721785256,"score_spread":0.2410042715645184,"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."}}