{"id":"W4413675063","doi":"10.64628/aam.ftee4rahp","title":"Protecting free speech on campus: A solution in search of a problem","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Law, Rights, and Freedoms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University","funders":"","keywords":"Free speech; Computer science; Speech recognition; Political 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":[0.003142212,0.0001483134,0.0002892845,0.0001921957,0.0002843761,0.00006641739,0.0006677943,0.0004598815,0.0003058206],"category_scores_gemma":[0.0003464541,0.0001203633,0.00009805006,0.0002686214,0.004103695,0.00007843997,0.0004607276,0.000687243,0.00004160082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104717,"about_ca_system_score_gemma":0.0006170826,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03829547,"about_ca_topic_score_gemma":0.04121924,"domain_scores_codex":[0.9976239,0.0004496576,0.0003523457,0.0004408518,0.0007028393,0.0004303876],"domain_scores_gemma":[0.9989699,0.000114529,0.0001735529,0.0004456921,0.0002201252,0.00007624373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001589976,0.0007466461,0.005952248,0.0009455484,0.00009622778,0.00002259788,0.1328998,0.0001735038,0.0006001117,0.824958,0.004798523,0.02864782],"study_design_scores_gemma":[0.001786562,0.0006502379,0.0007602518,0.002330805,0.00003946956,0.000002565622,0.01090787,0.001811996,0.009306622,0.9620268,0.00921372,0.001163052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2693728,0.0000928833,0.0390435,0.003621943,0.001417257,0.007076664,0.00003304292,0.0003418085,0.6790001],"genre_scores_gemma":[0.9820769,0.00004311935,0.01013369,0.00003401399,0.0009248237,0.0001155392,0.000005719681,0.00001968367,0.006646526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7127041,"threshold_uncertainty_score":0.9986066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05104812239720422,"score_gpt":0.323716645129878,"score_spread":0.2726685227326738,"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."}}