{"id":"W4200016542","doi":"10.24908/ss.v19i4.15189","title":"Surveillance Stories: Imagining Surveillance Futures","year":2021,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Global Security and Public Health","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Futures contract; Sociology; Business; Finance","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005115429,0.0003770803,0.0006742214,0.00002814731,0.002122635,0.0004345172,0.0006762419,0.0003880875,0.0008601616],"category_scores_gemma":[0.001648271,0.0004110344,0.0004670308,0.00164373,0.0006886278,0.0004466054,0.0001856894,0.0006657553,0.0001112576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005714725,"about_ca_system_score_gemma":0.002118757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01013928,"about_ca_topic_score_gemma":0.07142738,"domain_scores_codex":[0.9941935,0.001533357,0.0005799918,0.0009198256,0.001211109,0.001562212],"domain_scores_gemma":[0.9965591,0.000861668,0.0002756746,0.0007178729,0.001023722,0.0005619068],"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":[0.00004785019,0.0002749591,0.5569724,0.0002199656,0.0002171962,0.00007416319,0.1209857,0.00005995617,0.0001613989,0.05036568,0.2522607,0.01836001],"study_design_scores_gemma":[0.0004634237,0.00002178889,0.09328478,0.00001829191,0.000002219641,0.000007109687,0.03160178,0.00004459374,0.00001743577,0.001021258,0.8730011,0.0005162348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5396672,0.03626713,0.001924398,0.08732804,0.01426511,0.001264644,0.001113868,0.002580643,0.315589],"genre_scores_gemma":[0.983831,0.007665875,0.0009740577,0.00327162,0.002139723,0.00002527735,0.000143613,0.00004313398,0.001905634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6207404,"threshold_uncertainty_score":0.9998342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01936091967126692,"score_gpt":0.3188362827940252,"score_spread":0.2994753631227583,"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."}}