{"id":"W3014162667","doi":"10.14512/tatup.13.3.32","title":"Policing Science: Genetics, Nanotechnology, Robotics","year":2004,"lang":"de","type":"article","venue":"TATuP Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Robotics; Artificial intelligence; Nanotechnology; Engineering; Cognitive science; Computer science; Psychology; Robot; Materials 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002069803,0.0005657678,0.0005482433,0.002193648,0.002393714,0.006817572,0.0008678123,0.005530563,0.005952587],"category_scores_gemma":[0.004380134,0.0002851134,0.0002897467,0.00219539,0.03378471,0.006730314,0.002635381,0.003037925,0.0007577986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005533062,"about_ca_system_score_gemma":0.003541975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004254922,"about_ca_topic_score_gemma":0.0036035,"domain_scores_codex":[0.9983312,0.0008797458,0.00006599333,0.0002068432,0.0003883018,0.000127793],"domain_scores_gemma":[0.9976113,0.001398081,0.0003561479,0.0002174064,0.0002201596,0.0001969486],"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":[0.000004656203,0.000006482957,0.0002268876,0.00007603037,0.000004016601,0.00006810197,0.0005026158,0.0009116725,0.00008716109,0.9763816,0.004231937,0.01749875],"study_design_scores_gemma":[0.000002817505,0.00001179777,0.0002576477,0.0001876296,0.000002519629,0.0001583643,0.0008042935,0.0005708755,0.0001079314,0.9166132,0.0812739,0.000009122226],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01757864,0.1634376,0.1379696,0.2344744,0.003656228,0.0001122343,0.0001174517,0.0003673917,0.4422863],"genre_scores_gemma":[0.7784672,0.08646077,0.04062594,0.02304191,0.004251052,0.0003099738,0.00009291139,0.0001492028,0.06660107],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9976063,"threshold_uncertainty_score":0.0401454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419543652155214,"score_gpt":0.2881234027066213,"score_spread":0.2739279661850691,"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."}}