{"id":"W2610685865","doi":"10.71781/11353","title":"Développement et caractérisation de matériaux dentaires hautement performants","year":2006,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Dental materials and restorations","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry; Materials science","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":[],"consensus_categories":[],"category_scores_codex":[0.001387218,0.0004804706,0.00059027,0.00331364,0.001556688,0.001910928,0.0008676842,0.0009779675,0.009029008],"category_scores_gemma":[0.001955922,0.0003848576,0.0006151678,0.001567565,0.0007188195,0.0006800029,0.0007901276,0.0003791701,0.001320472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708706,"about_ca_system_score_gemma":0.001300031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03662997,"about_ca_topic_score_gemma":0.08367335,"domain_scores_codex":[0.9990957,0.00005894714,0.00004430289,0.0001368202,0.0005064925,0.0001576994],"domain_scores_gemma":[0.9984125,0.0002443721,0.0002719228,0.00008551209,0.0008888523,0.00009680645],"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":[0.0004873367,0.0002728317,0.04177691,0.001708025,0.00007863332,0.00061207,0.004219945,0.0006819241,0.7034142,0.00129579,0.00460005,0.2408523],"study_design_scores_gemma":[0.00001595652,0.001328652,0.4588254,0.0002344395,0.0002607996,0.001172298,0.004064391,0.0009380669,0.4307542,0.0004308516,0.1018819,0.00009304917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960907,0.01472086,0.004274047,0.0005295318,0.0001815483,0.0001465648,0.00168467,0.0003667174,0.01718904],"genre_scores_gemma":[0.9127987,0.009940249,0.01562496,0.0001845075,0.00007159289,0.0001306016,0.001951581,0.0001853606,0.05911248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03662997,"threshold_uncertainty_score":0.07283354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349535295678279,"score_gpt":0.3898302415464326,"score_spread":0.3363348885896498,"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."}}