{"id":"W7133413847","doi":"","title":"Marketing des traces : techniques de tracking et contre-mesures","year":2020,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Tracking (education); Feature (linguistics); Tracking system; Noise (video); Set (abstract data type)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001250351,0.0004192117,0.0004845382,0.0001440051,0.0005456322,0.00087181,0.0003630714,0.0001599431,0.0007761923],"category_scores_gemma":[0.001646031,0.0004535003,0.0002315425,0.0005829288,0.0003953891,0.001382234,0.0003691408,0.0004732916,0.000209064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007735929,"about_ca_system_score_gemma":0.00006586481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001616009,"about_ca_topic_score_gemma":0.00234154,"domain_scores_codex":[0.9978378,0.0001582912,0.0004606817,0.000503201,0.0002802057,0.0007598095],"domain_scores_gemma":[0.9988191,0.0003741815,0.0002818055,0.0002157717,0.0002486796,0.00006044285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000514735,0.00008649579,0.6089889,0.0007767876,0.00009814058,0.000148677,0.0007582863,0.000001328217,0.002396856,0.001030204,0.007692039,0.3779708],"study_design_scores_gemma":[0.000413481,0.00002438031,0.4291434,0.001138489,0.000775605,0.0000152742,0.002359343,0.0003964153,0.0006349397,0.0002224284,0.5641781,0.0006981967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7217739,0.08222578,0.0008867282,0.1366792,0.0007186948,0.0009663682,0.00005090046,0.00133661,0.05536191],"genre_scores_gemma":[0.9911161,0.002556695,0.002173733,0.001605016,0.0005359412,0.00006394101,0.00001111351,0.00009593167,0.001841532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5564861,"threshold_uncertainty_score":0.9997917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289431733809349,"score_gpt":0.3014339544413958,"score_spread":0.2585396371033022,"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."}}