{"id":"W1552975591","doi":"10.1080/19346182.2013.826666","title":"Pistorius and the media: missed story angles","year":2013,"lang":"en","type":"article","venue":"Sports Technology","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Normative; Beijing; Athletes; Advertising; Sociology; Political science; Psychology; Law; Business; China; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002533287,0.0001218538,0.0001697903,0.0002612208,0.000268535,0.00002270369,0.0003651654,0.0001786025,0.0003592886],"category_scores_gemma":[0.002166169,0.00008546465,0.00002249616,0.0005696777,0.00368639,0.00008935059,0.0001527425,0.0005868436,0.00008047467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000274854,"about_ca_system_score_gemma":0.00003894351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001509474,"about_ca_topic_score_gemma":0.00000745205,"domain_scores_codex":[0.9988208,0.00004777925,0.0002264096,0.0003677053,0.0002655406,0.0002717408],"domain_scores_gemma":[0.9989357,0.0003611879,0.0001346481,0.0004590412,0.00006077584,0.0000486347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001745629,0.0001150556,0.0005876273,0.00002182299,0.000007016942,0.0001099612,0.0005593337,1.829212e-7,0.3276581,0.6078858,0.02652622,0.03651148],"study_design_scores_gemma":[0.002031815,0.0001167902,0.004720795,0.00003767381,0.00002519198,0.0001870603,0.0006040665,0.0000665402,0.2239492,0.5165681,0.2512532,0.0004395775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8891587,0.000250576,0.0002596947,0.1045395,0.0009693588,0.0006049098,0.000004432678,0.0006024894,0.003610307],"genre_scores_gemma":[0.9938738,0.0001195961,0.0002433831,0.004502065,0.00006648259,0.000116521,0.000001071023,0.0000160636,0.001060996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224727,"threshold_uncertainty_score":0.999025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568315031698451,"score_gpt":0.2522645454612217,"score_spread":0.2265813951442372,"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."}}