{"id":"W4398760464","doi":"","title":"Performances Diélectrique des Matériaux Biosourcés","year":2022,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Computer science; Materials science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004038326,0.0003057854,0.0002840421,0.0001879008,0.00114022,0.0002640794,0.001014776,0.000116651,0.004237418],"category_scores_gemma":[0.0003331969,0.0003645252,0.0001783005,0.0007053741,0.0003121611,0.0002761515,0.0005427731,0.0006857411,0.0002353484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003410653,"about_ca_system_score_gemma":0.0001201945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00290779,"about_ca_topic_score_gemma":0.0008510656,"domain_scores_codex":[0.9949222,0.003093643,0.0004765975,0.0004762862,0.0004258829,0.0006054238],"domain_scores_gemma":[0.9973001,0.0006418072,0.0001584346,0.001112098,0.0005781097,0.000209435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002014606,0.000853277,0.002463963,0.0005498754,0.000193535,0.00003540812,0.03787348,0.05126297,0.00833123,0.3736475,0.006416327,0.5183523],"study_design_scores_gemma":[0.0004492879,0.000002587538,0.001523129,0.0007378177,0.00005942542,0.0001462704,0.0009354149,0.3858901,0.1056995,0.007250198,0.4964674,0.0008389786],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1742176,0.03624468,0.6697757,0.0182749,0.001247265,0.0005102518,0.0001225087,0.0005058554,0.09910135],"genre_scores_gemma":[0.8776924,0.005619751,0.05893464,0.0001005631,0.00006305845,0.0001120521,0.0001550119,0.00009340399,0.05722914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7034748,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564914712097844,"score_gpt":0.2090770322891572,"score_spread":0.1934278851681788,"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."}}