{"id":"W2035889447","doi":"10.4000/champpenal.7782","title":"Crime 2.0 : le web dans tous ses états !","year":2010,"lang":"fr","type":"article","venue":"Champ pénal","topic":"Stalking, Cyberstalking, and Harassment","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; International Centre for Comparative Criminology","funders":"","keywords":"Political science; Humanities; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.002597809,0.0007820983,0.0005397028,0.004796234,0.00214192,0.01078666,0.0009521295,0.002835927,0.01658668],"category_scores_gemma":[0.01024148,0.0006268558,0.0004700069,0.005712157,0.002726345,0.01408478,0.003299776,0.002931966,0.006979621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290885,"about_ca_system_score_gemma":0.001949286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.011744,"about_ca_topic_score_gemma":0.01167389,"domain_scores_codex":[0.9973565,0.001056076,0.0001330625,0.0002224733,0.000998988,0.0002329609],"domain_scores_gemma":[0.9943078,0.002599893,0.0006599975,0.0007251676,0.001215731,0.0004913346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001899969,0.0001736724,0.03344114,0.001012882,0.0001064059,0.001679744,0.01017119,0.00125684,0.00404634,0.1217433,0.2156784,0.6104999],"study_design_scores_gemma":[0.000009526146,0.00004842651,0.02043499,0.0009785619,0.00002719086,0.001425053,0.005446554,0.001385716,0.001275777,0.02593245,0.9429232,0.000112538],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1594115,0.07549956,0.06038171,0.2534924,0.00759297,0.0003518291,0.009247708,0.00628661,0.4277357],"genre_scores_gemma":[0.5231653,0.09209871,0.07249233,0.02543324,0.007333135,0.0005937036,0.007915233,0.00324013,0.2677282],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01658668,"threshold_uncertainty_score":0.05548799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315937134085918,"score_gpt":0.294653926374071,"score_spread":0.2714945550332118,"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."}}