{"id":"W2911411839","doi":"","title":"Interview with Jeff Hancock","year":2018,"lang":"en","type":"article","venue":"Intersect: The Stanford Journal of Science, Technology and Society","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social media; Deception; Officer; Psychology; Interpersonal communication; Media studies; Sociology; Library science; Political science; Social psychology; Computer science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002644583,0.0007694715,0.0009893809,0.001138145,0.01267167,0.004759144,0.001169353,0.007457889,0.04769635],"category_scores_gemma":[0.01217583,0.0005612909,0.0004583311,0.001131672,0.002204337,0.004824462,0.002887465,0.01332518,0.01638954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006184672,"about_ca_system_score_gemma":0.00707269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02858169,"about_ca_topic_score_gemma":0.03486878,"domain_scores_codex":[0.9980141,0.0006347635,0.00006911716,0.0003092335,0.0004329555,0.0005398311],"domain_scores_gemma":[0.9945289,0.001047319,0.0002477929,0.0001166282,0.00166124,0.0023981],"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":[0.00000908405,0.0000155413,0.0002724212,0.00001962477,0.000001949554,0.0002587688,0.002035381,0.00001537304,0.00005329007,0.001273746,0.9916384,0.004406449],"study_design_scores_gemma":[0.000004188838,0.00001485724,0.000853035,0.00007000646,0.000002081027,0.0005462324,0.0121273,0.00004385176,0.00005769122,0.0006002741,0.9856596,0.00002092012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004021931,0.007456435,0.000344112,0.9398272,0.01668134,0.00005866812,0.0003647711,0.0001325575,0.03111303],"genre_scores_gemma":[0.03224675,0.003853407,0.0004413946,0.7818142,0.003742097,0.0002206681,0.0002066194,0.0001738992,0.177301],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9873284,"threshold_uncertainty_score":0.1595602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664522024365045,"score_gpt":0.3031702022662573,"score_spread":0.2865249820226069,"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."}}