{"id":"W4380669290","doi":"10.58205/mjrs.v1i2.1167","title":"L’impact du Spamming sur les affaires et son traitement technique et juridique au Canada","year":2015,"lang":"fr","type":"article","venue":"Milev Journal of Research and Studies","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spamming; Humanities; Political science; Philosophy; Computer science; The Internet","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":[0.01241596,0.0001869421,0.0004141676,0.0002365408,0.0008839744,0.0001526939,0.0004045961,0.0001147213,0.00002170149],"category_scores_gemma":[0.005170066,0.0001438653,0.00008744447,0.0004092842,0.0008568534,0.000707742,0.0004121724,0.0009269154,0.000001272489],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443622,"about_ca_system_score_gemma":0.007168885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7850246,"about_ca_topic_score_gemma":0.935236,"domain_scores_codex":[0.9955109,0.001757192,0.0004237156,0.000201658,0.001433701,0.0006728625],"domain_scores_gemma":[0.9966285,0.0007852538,0.0002195517,0.0001386386,0.001732718,0.0004953433],"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":[0.0008469425,0.0008213313,0.03298138,0.0008608983,0.001301495,0.0009518918,0.09914657,0.00006338336,0.0009660729,0.01721821,0.7622993,0.08254255],"study_design_scores_gemma":[0.001689677,0.004734815,0.02409745,0.002067078,0.00007424277,0.0002292995,0.1368599,0.0000351665,0.002874239,0.02253226,0.8042802,0.0005256974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7358652,0.1357676,0.001193681,0.1227935,0.001479299,0.0006837836,0.0001443098,0.00001737991,0.002055265],"genre_scores_gemma":[0.9326677,0.06564698,0.0004201144,0.00006035475,0.0009441676,0.00001773909,0.00000158896,0.00001104546,0.0002303424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1968025,"threshold_uncertainty_score":0.9984595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766957727720125,"score_gpt":0.4325449240175467,"score_spread":0.2558491512455343,"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."}}