{"id":"W6986094916","doi":"","title":"Objets connectés. Perspectives pour un développement intelligent Connected objects - perspectives for intelligent development","year":2016,"lang":"fr","type":"other","venue":"OpenEdition (OpenEdition)","topic":"Fetal and Pediatric Neurological Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Université Bordeaux Montaigne; Université de Bourgogne; Université de Strasbourg; Université de Bordeaux; Université du Québec à Montréal","keywords":"Field (mathematics); Object (grammar); Development (topology); Process (computing); Visualization; Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001249353,0.0009994055,0.0004288165,0.00189907,0.0009799714,0.00665217,0.001090654,0.002361506,0.02003885],"category_scores_gemma":[0.002300274,0.0005033567,0.0007204654,0.001935474,0.002414128,0.008693495,0.002361704,0.002485446,0.004694389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001671517,"about_ca_system_score_gemma":0.001205487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00315817,"about_ca_topic_score_gemma":0.003223262,"domain_scores_codex":[0.9992112,0.0001846523,0.00005503326,0.0001794723,0.0003115329,0.00005808104],"domain_scores_gemma":[0.9990278,0.0004836023,0.00005610058,0.00011656,0.0001965568,0.0001194565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003534633,0.0000331488,0.0003146603,0.0002519651,0.000009341957,0.0002398103,0.0006305572,0.0008319708,0.0009141212,0.769527,0.02158201,0.2056301],"study_design_scores_gemma":[0.00001630396,0.00003440267,0.0007905291,0.0004817878,0.00002284152,0.001448754,0.0007794244,0.004894225,0.002011753,0.370834,0.6186568,0.00002918289],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01114932,0.1104993,0.3335842,0.01274682,0.004170286,0.0001202913,0.0008469037,0.002105584,0.5247772],"genre_scores_gemma":[0.1747194,0.1168064,0.3671077,0.002187947,0.003458371,0.0002906926,0.0029219,0.001232132,0.3312755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02003885,"threshold_uncertainty_score":0.06703663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893646730181629,"score_gpt":0.284814576127397,"score_spread":0.2558781088255807,"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."}}