{"id":"W3168971495","doi":"","title":"Rendre à César ce qui lui appartient : l’utile hypothèse d’un droit moral des données","year":2021,"lang":"fr","type":"article","venue":"Les Cahiers de propriété intellectuelle","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.001104483,0.0004952953,0.0005835903,0.0001759106,0.002005357,0.0003605953,0.00065952,0.0009173059,0.01392836],"category_scores_gemma":[0.002289462,0.0005296246,0.0004550598,0.00139119,0.003656518,0.0006885829,0.0002661208,0.001126528,0.001029534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141739,"about_ca_system_score_gemma":0.000719169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058854,"about_ca_topic_score_gemma":0.0008035068,"domain_scores_codex":[0.9948852,0.001199776,0.0007697356,0.000886222,0.0009300183,0.001329026],"domain_scores_gemma":[0.9972743,0.0006040072,0.000303074,0.0006483347,0.000518002,0.0006522316],"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":[0.0007009121,0.001928341,0.001703943,0.0008888474,0.0004182659,0.0005102326,0.1769143,0.0008593377,0.01625925,0.3198024,0.1757036,0.3043105],"study_design_scores_gemma":[0.001609781,0.0004508018,0.0003162549,0.0009747103,0.0002523322,0.000162198,0.08714603,0.008726153,0.1615824,0.1497169,0.58763,0.001432482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6593118,0.059052,0.02809019,0.008822292,0.004534887,0.001001656,0.00006523024,0.0004618029,0.2386601],"genre_scores_gemma":[0.8305015,0.006126351,0.01197963,0.001483156,0.0007833416,0.00009090562,0.00004123189,0.00009085128,0.148903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4119264,"threshold_uncertainty_score":0.9997483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0335370797806037,"score_gpt":0.2530522204976519,"score_spread":0.2195151407170482,"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."}}