{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006387426,0.0009806653,0.0007421371,0.0006448025,0.0007381742,0.001544207,0.0004768971,0.001652331,0.009706606],"category_scores_gemma":[0.001198219,0.0002254832,0.0004881383,0.0005947321,0.0007862587,0.0006784636,0.0007449559,0.0006902072,0.002197413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001265881,"about_ca_system_score_gemma":0.0003819378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537446,"about_ca_topic_score_gemma":0.0009440343,"domain_scores_codex":[0.9991405,0.0001331117,0.00002419783,0.0001259619,0.0004278469,0.0001483438],"domain_scores_gemma":[0.9983942,0.0009976202,0.0001101464,0.00009269793,0.0003003075,0.0001051183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001473898,0.0001125713,0.0007698794,0.0003803831,0.00009635354,0.0003848401,0.0003958872,0.02053401,0.953146,0.004032744,0.00226497,0.01640845],"study_design_scores_gemma":[0.00008593247,0.0006933318,0.006455197,0.00004826005,0.00005334748,0.0002692353,0.0003248975,0.05436598,0.9276024,0.001218353,0.008814599,0.00006856651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987809,0.003661609,0.02755193,0.001345115,0.0006954143,0.00005634992,0.0006028586,0.001476319,0.06582948],"genre_scores_gemma":[0.9742038,0.0009649871,0.003945373,0.0002369855,0.0001334841,0.00006071061,0.0004020712,0.0002460859,0.01980648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009706606,"threshold_uncertainty_score":0.0324719,"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."}}