{"id":"W7100707308","doi":"","title":""DISINFORMATION AND SMEAR: " THE USE OF STATE PROPAGANDA AND MILITARY FORCE TO SUPPRESS ABORIGINAL TITLE AT THE 1995","year":2001,"lang":"en","type":"article","venue":"","topic":"Information Technology and Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Use of force; Law enforcement; Resistance (ecology); Enforcement; Terrorism; State of emergency; Coercion (linguistics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00108253,0.0001882207,0.0001230348,0.0007189178,0.008740009,0.003187782,0.0004747414,0.001571217,0.01518861],"category_scores_gemma":[0.005306247,0.0001662788,0.00006572504,0.0008582391,0.003616563,0.001149936,0.001287651,0.001462721,0.00196778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005369669,"about_ca_system_score_gemma":0.005294386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3509747,"about_ca_topic_score_gemma":0.6054657,"domain_scores_codex":[0.9992199,0.0001548206,0.00003335807,0.00006629106,0.0002964206,0.0002293204],"domain_scores_gemma":[0.9985437,0.0005489058,0.0002079981,0.0001025537,0.0004182898,0.0001786269],"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":[0.0001599039,0.00005364907,0.01480967,0.0004937666,0.00001290491,0.001556196,0.1862958,0.0001065013,0.003781764,0.04133769,0.5354139,0.2159782],"study_design_scores_gemma":[0.000006427197,0.00004422944,0.02849564,0.0003179083,0.000008989184,0.0002838963,0.04918848,0.00009495118,0.00213611,0.001464858,0.9179328,0.0000256776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2237838,0.009065607,0.0009839472,0.2541638,0.004103162,0.000149806,0.0009485355,0.0002163261,0.506585],"genre_scores_gemma":[0.4892675,0.00441203,0.000528138,0.02439535,0.0005207164,0.00004635954,0.000212463,0.00004451505,0.4805729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6490253,"threshold_uncertainty_score":0.6978636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03237728604076726,"score_gpt":0.3101032567346826,"score_spread":0.2777259706939153,"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."}}