{"id":"W2006076275","doi":"10.3917/res.175.0205","title":"La traduction des échantillons biologiques : une amplification de la vie privée ?","year":2012,"lang":"fr","type":"article","venue":"Réseaux","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008758779,0.0001502472,0.0001328479,0.00005231645,0.0002568573,0.0000372811,0.0001621305,0.000347088,0.00119949],"category_scores_gemma":[0.0002181158,0.0001474927,0.00007948482,0.0002855349,0.001637822,0.0004365146,0.0000507348,0.0002407522,0.0009773353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002250664,"about_ca_system_score_gemma":0.00004486067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606704,"about_ca_topic_score_gemma":0.0002326463,"domain_scores_codex":[0.9982429,0.0008253288,0.0002002905,0.0002177893,0.0001023455,0.000411381],"domain_scores_gemma":[0.9992641,0.0002551368,0.0001015561,0.000211663,0.00001371363,0.000153863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001579245,0.0004349467,0.8049886,0.00003611943,0.00004615754,0.000003204176,0.002812994,0.00007402456,0.02490755,0.0439843,0.008228146,0.1144681],"study_design_scores_gemma":[0.0001023946,0.00003322454,0.7637317,0.00002528834,0.00008073942,0.00008064316,0.0006733559,0.0002051613,0.005791852,0.006910139,0.2222123,0.0001532612],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955434,0.004178865,0.01541411,0.009439491,0.0003634156,0.0001289772,0.00001175779,0.0001002335,0.0149291],"genre_scores_gemma":[0.9886146,0.004222233,0.004437415,0.0006384375,0.0001755047,0.00002267216,0.00001770138,0.00001274522,0.001858669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139841,"threshold_uncertainty_score":0.9998005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05198871218515332,"score_gpt":0.322651859746665,"score_spread":0.2706631475615117,"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."}}