{"id":"W2957189115","doi":"10.1177/1464884919862655","title":"Beyond the boundaries of science: Resistance to misinformation by scientist citizens","year":2019,"lang":"en","type":"article","venue":"Journalism","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Misinformation; Public relations; Political science; Resistance (ecology); Politics; Journalism; TRACE (psycholinguistics); Corporate governance; Sociology; Media studies; Internet privacy; Law; Business; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002301185,0.00004152677,0.00006940915,0.0001013094,0.002017844,0.0005927993,0.0005487666,0.00002805468,0.0008351374],"category_scores_gemma":[0.0002029953,0.00003110273,0.00003188476,0.0007235449,0.001426329,0.0004477829,0.00006010032,0.00008937196,0.0001131011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001347418,"about_ca_system_score_gemma":0.0002254589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002140815,"about_ca_topic_score_gemma":0.001285025,"domain_scores_codex":[0.9988419,0.00007378439,0.0001913262,0.00007176432,0.0006493272,0.0001719283],"domain_scores_gemma":[0.9991437,0.00005643172,0.0001507238,0.000251832,0.0003151695,0.00008216587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003294534,0.00004787865,0.001536725,0.00001827967,0.000006554959,1.585934e-7,0.3886856,0.000005358886,0.02363402,0.2867887,0.2919001,0.007343646],"study_design_scores_gemma":[0.0001190471,0.000009762734,0.003672627,0.00002734985,0.000002403337,6.866172e-7,0.01970216,0.00001294592,0.0003296975,0.003315511,0.9727522,0.00005560893],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7260119,0.0002305606,0.0000604221,0.03266059,0.0009285612,0.0002044126,0.00002160208,0.00001594852,0.239866],"genre_scores_gemma":[0.9880524,0.0005678449,0.0001868189,0.001239648,0.000070008,0.000002628774,0.000005563395,0.000002999039,0.009872105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6808521,"threshold_uncertainty_score":0.9992814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058869340385651,"score_gpt":0.4045900749665354,"score_spread":0.2987031409279703,"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."}}