{"id":"W6993129386","doi":"","title":"Normativities and judicial uses of technologies : the controversed illustration of neuroimaging in France and Canada","year":2019,"lang":"fr","type":"article","venue":"theses.fr (ABES)","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Identity (music); Identification (biology); Public policy; Field (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01402301,0.0003299237,0.0008137197,0.003872723,0.02750261,0.01377078,0.003424642,0.006869224,0.006176319],"category_scores_gemma":[0.03374707,0.0004580393,0.0005550206,0.004587281,0.02727242,0.003991156,0.005371508,0.007035627,0.0002839177],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1711949,"about_ca_system_score_gemma":0.1850198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857991,"about_ca_topic_score_gemma":0.9889703,"domain_scores_codex":[0.981323,0.004347175,0.0005903273,0.00160763,0.007221048,0.004910921],"domain_scores_gemma":[0.9713866,0.0131037,0.001536759,0.001031279,0.0103244,0.002617336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001435788,0.00004912166,0.01763499,0.0002620088,0.0000771842,0.001613203,0.1093651,0.000887683,0.0005635449,0.7613991,0.04046061,0.06754391],"study_design_scores_gemma":[0.00007652088,0.00006283497,0.07448509,0.001442279,0.0001253616,0.0007811348,0.1311187,0.002026579,0.001482593,0.0474279,0.7405323,0.0004387355],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3290165,0.02622222,0.003427717,0.3196175,0.001092558,0.00008847182,0.0005335104,0.0001039892,0.3198976],"genre_scores_gemma":[0.9633451,0.004601526,0.0006354279,0.01330374,0.0001381708,0.00002606657,0.00005902303,0.00004783753,0.01784312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9724974,"threshold_uncertainty_score":0.9612964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02396322599083867,"score_gpt":0.2494722310186576,"score_spread":0.225509005027819,"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."}}