{"id":"W2565173659","doi":"","title":"The Robot as Cub Reporter: Law's Emerging Role in Cognitive Journalism","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Journalism; Personhood; Legitimacy; Human cloning; Sociology; Citizen journalism; Storytelling; Law; Political science; Public relations; Narrative","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":[],"consensus_categories":[],"category_scores_codex":[0.003488618,0.0001999879,0.0002114979,0.000108502,0.0007162101,0.0003801734,0.001163152,0.00007525805,0.00005980008],"category_scores_gemma":[0.0003863942,0.00009904674,0.0001616965,0.0002917013,0.000171915,0.001021317,0.0001837947,0.001260092,0.00009951198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006651066,"about_ca_system_score_gemma":0.001598824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001913071,"about_ca_topic_score_gemma":0.001710222,"domain_scores_codex":[0.9959095,0.0002719465,0.0005789546,0.0003431863,0.0005001356,0.002396291],"domain_scores_gemma":[0.9987116,0.0002840349,0.0003006299,0.0003379361,0.0002249081,0.0001408402],"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":[0.0000970393,0.00008565746,0.0004415316,0.000001418124,0.0001833496,0.00008679125,0.001610554,0.000008629554,0.003242871,0.5878984,0.0006437793,0.4057],"study_design_scores_gemma":[0.001325566,0.0007310581,0.0001348403,0.0001713171,0.0000194301,0.006006585,0.001414253,0.001218626,0.004251386,0.9535757,0.03075823,0.0003930078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08699878,0.01687646,0.7929501,0.03386977,0.002158401,0.0005252069,0.000001412238,0.0002011933,0.06641867],"genre_scores_gemma":[0.9862272,0.007006095,0.00008883276,0.000632814,0.0003456727,0.000007158897,1.848766e-7,0.00001950039,0.005672552],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8992284,"threshold_uncertainty_score":0.5508581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116262943296847,"score_gpt":0.2494098641455091,"score_spread":0.2377835698158244,"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."}}