{"id":"W2161175505","doi":"10.1177/1354856508091087","title":"Dreaming in Technicolor","year":2008,"lang":"en","type":"article","venue":"Convergence The International Journal of Research into New Media Technologies","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Public broadcasting; Broadcasting (networking); Technicolor; Public service; Enhanced Data Rates for GSM Evolution; Public relations; Service (business); Sociology; Media studies; Multimedia; Political science; Computer science; Business; Advertising; Telecommunications; Computer security; Marketing","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003709975,0.00006778922,0.0001422678,0.0005587383,0.0004166481,0.00004149737,0.003706991,0.0001071116,0.00008798344],"category_scores_gemma":[0.01598582,0.00004676306,0.0000620647,0.0007787172,0.001779458,0.0002700878,0.0005624185,0.0008536624,0.00002755841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964405,"about_ca_system_score_gemma":0.0009405614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947686,"about_ca_topic_score_gemma":0.002962233,"domain_scores_codex":[0.997307,0.0002124982,0.0003721729,0.0001036878,0.001712303,0.0002923599],"domain_scores_gemma":[0.9967784,0.001654843,0.0001892865,0.0002577852,0.001059215,0.00006053014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002971468,0.0002487085,0.06771515,0.00001164812,0.0001902762,0.000539273,0.1280609,0.00002778564,0.006233254,0.1753067,0.1002237,0.5211455],"study_design_scores_gemma":[0.000886481,0.0002109877,0.008584381,0.0003561573,0.000007616361,0.0001028388,0.2634218,0.0000864263,0.0154812,0.1933359,0.5172958,0.000230379],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7045642,0.006823855,0.0002946879,0.2819524,0.002201979,0.0003033108,8.585835e-7,0.0001314543,0.003727251],"genre_scores_gemma":[0.9526474,0.04560703,0.001123176,0.00005184546,0.0002843622,0.00001549136,3.290041e-7,0.000004554314,0.0002658172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5209152,"threshold_uncertainty_score":0.992303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1743469559689372,"score_gpt":0.4387605288234844,"score_spread":0.2644135728545471,"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."}}