{"id":"W3091838973","doi":"10.5210/spir.v2020i0.11278","title":"BAD ATTACHMENTS: EMAIL AND QUEER ANTI-CENSORSHIP PROTESTS","year":2020,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Sexuality, Behavior, and Technology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Censorship; Queer; Internet privacy; The Internet; Human sexuality; Criminalization; Sociology; Politics; Media studies; Advertising; World Wide Web; Law; Political science; Gender studies; Computer science; Criminology; Business","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006498154,0.0002191481,0.0003865684,0.0002921631,0.00006747612,0.0000408199,0.0006356433,0.0003819686,0.002006209],"category_scores_gemma":[0.000833497,0.0002033855,0.0000529569,0.001091049,0.0006037977,0.00006621168,0.0002699656,0.001066029,0.0002664152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005083001,"about_ca_system_score_gemma":0.00007503987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693079,"about_ca_topic_score_gemma":0.0001935234,"domain_scores_codex":[0.9968868,0.0006785576,0.0004151255,0.0007228599,0.0005228134,0.0007738129],"domain_scores_gemma":[0.9983631,0.0003547239,0.00009365515,0.0004613424,0.0004920249,0.0002351874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007293969,0.0007668075,0.7645261,0.0001589921,0.0005053522,0.0002328094,0.01283277,2.897207e-7,0.158427,0.01811635,0.03035869,0.01334548],"study_design_scores_gemma":[0.004755558,0.006133126,0.7888917,0.0001906993,0.00008744036,0.0001596802,0.005268958,0.00009317437,0.08647202,0.0003358209,0.1066921,0.0009197286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973326,0.0006071028,0.000007941811,0.002750506,0.0001038754,0.0007049207,0.00001307089,0.0001905872,0.02229596],"genre_scores_gemma":[0.9905447,0.00003034733,0.0001088785,0.0002866158,0.00008103283,0.000127312,0.00002241725,0.00004370313,0.008754964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07633338,"threshold_uncertainty_score":0.9989061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09436830637322044,"score_gpt":0.4190703620636061,"score_spread":0.3247020556903857,"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."}}