{"id":"W3174008458","doi":"10.29173/irie349","title":"Law, Ethics and Electronic Commerce","year":2005,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"European and International Contract Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); The Internet; Cyberspace; Face (sociological concept); Business; Diversity (politics); Internet privacy; Legal aspects of computing; E-commerce; Law; Law and economics; Political science; Computer science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007520622,0.0000649565,0.00009675141,0.00003424134,0.0003530817,0.00007273928,0.0005103768,0.00008060264,0.0003223973],"category_scores_gemma":[0.004732338,0.0000481914,0.00005529481,0.00007887297,0.0003660927,0.0009860044,0.00006417406,0.001028656,0.0001363791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009926234,"about_ca_system_score_gemma":0.0003013895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002316941,"about_ca_topic_score_gemma":0.0004387947,"domain_scores_codex":[0.9981499,0.0003636479,0.0004176723,0.00005015206,0.0008982656,0.0001203048],"domain_scores_gemma":[0.9973563,0.001363218,0.0002819381,0.0001109327,0.000850458,0.00003714388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004470396,0.00000670191,0.000007814786,0.0001288804,0.00001599832,2.949837e-8,0.004068166,0.00000697205,0.000003136953,0.9887335,0.001192224,0.005832099],"study_design_scores_gemma":[0.00008674611,0.00001090525,0.0001081944,0.0007305713,0.000009546412,0.000001993482,0.0002855014,0.0001718999,0.00002899055,0.003557216,0.9949543,0.00005409741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0008803161,0.005386747,0.0009191912,0.3246522,0.0002373614,0.000241197,0.00001531322,0.00003228836,0.6676353],"genre_scores_gemma":[0.6161491,0.2065919,0.0003012182,0.1753065,0.0002611697,0.000008567783,0.00003594956,0.000005647365,0.001340011],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9937621,"threshold_uncertainty_score":0.5665393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05424291838832178,"score_gpt":0.3924526307880282,"score_spread":0.3382097123997064,"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."}}