{"id":"W2204112706","doi":"","title":"How to Really Catch a Predator: A Comparative Look at Online Sexual Predators and the Defences Made Available to Them","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Predation; Predator; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126899,0.000260772,0.0003596393,0.00008353447,0.0008207041,0.0003047195,0.001401466,0.00006714994,0.00004052954],"category_scores_gemma":[0.0001344193,0.0001491672,0.00007397695,0.0004288031,0.0002894151,0.0005752313,0.0004984088,0.0009124563,0.0001897939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005538643,"about_ca_system_score_gemma":0.001646496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002077643,"about_ca_topic_score_gemma":0.002282738,"domain_scores_codex":[0.9967189,0.0002192545,0.0003073156,0.0005136567,0.0005117409,0.00172915],"domain_scores_gemma":[0.9987546,0.0001793463,0.0001336288,0.0004647516,0.0001811997,0.000286437],"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":[0.004367742,0.001275225,0.007429108,0.00005513431,0.002029048,0.00009266065,0.2241936,0.0005464859,0.01009323,0.2647923,0.4515586,0.03356688],"study_design_scores_gemma":[0.02064868,0.02863395,0.002171902,0.0004147857,0.0004379866,0.03918408,0.06416044,0.08553538,0.02538785,0.2410796,0.4857589,0.006586393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9149442,0.00253871,0.06925229,0.009621228,0.0002698998,0.0006909855,0.00001052955,0.00009453261,0.002577568],"genre_scores_gemma":[0.9601406,0.001567511,0.002143303,0.001210079,0.0002829502,0.00002122094,0.000002201835,0.00001725616,0.03461486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1600332,"threshold_uncertainty_score":0.6312276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03938033338387124,"score_gpt":0.241263146408379,"score_spread":0.2018828130245078,"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."}}