{"id":"W3006970608","doi":"10.22230/cjc.2020v45n1a3471","title":"Framing Policy Visions of Big Data in Emerging States","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Framing (construction); Vision; China; Political science; Corporate governance; Scope (computer science); Big government; Public administration; Sociology; Politics; Geography; Economics; Management; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008249291,0.00003228781,0.00008948871,0.0001442659,0.0001628309,0.0000499042,0.001252137,0.00003091177,0.00006630341],"category_scores_gemma":[0.0005780002,0.00003355237,0.00001755681,0.0004738403,0.000104372,0.0003900263,0.00006077784,0.0001447893,0.000001543262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009742544,"about_ca_system_score_gemma":0.001596808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2522867,"about_ca_topic_score_gemma":0.6771333,"domain_scores_codex":[0.99926,0.0001575624,0.000248045,0.0000409119,0.0001751919,0.0001182595],"domain_scores_gemma":[0.999011,0.000137272,0.0002339276,0.0002787004,0.00009741852,0.0002416541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002172349,0.00004558286,0.3851078,0.00004670498,0.00007378866,0.000009961751,0.368154,0.0004740788,0.0001791462,0.07620038,0.008090645,0.1615962],"study_design_scores_gemma":[0.0003724654,0.0000485141,0.04694805,0.0002143612,0.00001763258,0.000001048175,0.119004,0.001384605,0.00003933656,0.004569688,0.8272651,0.0001351446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6429852,0.005605778,0.0002050279,0.3164379,0.0002002576,0.0001270475,0.00005753195,0.000007099725,0.03437418],"genre_scores_gemma":[0.9978462,0.0009634646,0.0003802291,0.000627438,0.0001485684,1.932482e-7,0.00001424361,0.000003370357,0.00001630951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8191745,"threshold_uncertainty_score":0.7526924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000104330559919,"score_gpt":0.3533229467759194,"score_spread":0.2533125137199275,"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."}}