{"id":"W1546712574","doi":"","title":"Olympic Media: Inside the Biggest Show on Television","year":2010,"lang":"en","type":"article","venue":"Thirdspace","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Advertising; Media studies; Telecommunications; Computer science; Business; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007277989,0.0004177275,0.0001780158,0.0008674604,0.00470506,0.00652368,0.0004306942,0.001159614,0.02966733],"category_scores_gemma":[0.001478621,0.0002200228,0.000309428,0.0009622158,0.001563642,0.002504976,0.002030593,0.002367317,0.002423495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455538,"about_ca_system_score_gemma":0.0008440362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01735321,"about_ca_topic_score_gemma":0.08272884,"domain_scores_codex":[0.9996132,0.0001143032,0.000005678915,0.00003536412,0.00006475251,0.0001666668],"domain_scores_gemma":[0.9990464,0.0001708054,0.00008249984,0.00004323067,0.00008590398,0.0005711429],"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":[0.0008961808,0.0003193145,0.05705472,0.0002947299,0.0001753793,0.001111848,0.04824571,0.0001562524,0.003544555,0.03432348,0.7704458,0.08343214],"study_design_scores_gemma":[0.00003284272,0.0001664627,0.188745,0.0003173329,0.0001010242,0.0005316362,0.08961091,0.0001335271,0.001384898,0.002728913,0.7161849,0.00006253624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3744215,0.007325029,0.0006399111,0.05813432,0.007355519,0.00003992783,0.002201919,0.0003320176,0.5495499],"genre_scores_gemma":[0.9067335,0.002271603,0.0003207868,0.003611703,0.004083041,0.00002837303,0.0008765798,0.0002965879,0.08177791],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02966733,"threshold_uncertainty_score":0.09924704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784092089838396,"score_gpt":0.2999675448225415,"score_spread":0.2721266239241575,"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."}}