{"id":"W33205919","doi":"10.1111/ijlh.13311","title":"Medienrecht- Streitwertbemessung bei Spam-Mails","year":2006,"lang":"de","type":"article","venue":"Computer Und Recht: Forum für die Praxis des Rechts der Datenverargeitung, Information und Automation","topic":"Digitalization, Law, and Regulation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Business","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002504424,0.0004398134,0.0007290679,0.001515477,0.0007655468,0.002201979,0.0005016022,0.001635,0.01752451],"category_scores_gemma":[0.01911691,0.0002506942,0.0004111465,0.0006957604,0.0006985928,0.001467736,0.001036351,0.001659201,0.004751164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008301894,"about_ca_system_score_gemma":0.0006036864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259792,"about_ca_topic_score_gemma":0.0008801524,"domain_scores_codex":[0.998484,0.0005841719,0.0001157636,0.0002053867,0.000394638,0.0002161024],"domain_scores_gemma":[0.9940202,0.004180535,0.0004395853,0.0004695994,0.0006477166,0.0002423627],"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":[0.01331346,0.003331066,0.06648497,0.000722459,0.0002904714,0.001706438,0.003478333,0.007215016,0.03658268,0.02058949,0.01514494,0.8311406],"study_design_scores_gemma":[0.001632961,0.01275373,0.3617595,0.001078519,0.001622498,0.008964291,0.005511987,0.1640518,0.2260897,0.1211666,0.09497996,0.0003883657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918746,0.005266492,0.03576349,0.006268595,0.0009549299,0.000486702,0.001080754,0.00224906,0.05605541],"genre_scores_gemma":[0.9865003,0.0008202521,0.006025141,0.0004136114,0.0001669672,0.0001117026,0.0002092232,0.00008851097,0.005664162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01752451,"threshold_uncertainty_score":0.05862534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01354143470750178,"score_gpt":0.284795646438999,"score_spread":0.2712542117314972,"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."}}