{"id":"W2605419720","doi":"10.71781/11232","title":"Développement de méthodes de séparation des oligosaccharides de chitine et de chitosane par électrophorèse capillaire","year":2005,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Nanocomposite Films for Food Packaging","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chemistry","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":[0.001503392,0.001359137,0.0007578474,0.001189624,0.0007796283,0.0008861384,0.0009886384,0.001064944,0.002746292],"category_scores_gemma":[0.00163512,0.0007336568,0.0009249102,0.0006263849,0.000765184,0.0009687698,0.0004276598,0.001963516,0.0009823748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00129286,"about_ca_system_score_gemma":0.001928842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01571489,"about_ca_topic_score_gemma":0.01769983,"domain_scores_codex":[0.9992281,0.0000859906,0.0000380259,0.0001735929,0.0003664727,0.0001077632],"domain_scores_gemma":[0.9992973,0.0002689927,0.00005666808,0.00007119214,0.0002495501,0.00005623915],"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":[0.00005123824,0.00004330088,0.0001457467,0.0003362172,0.00003371832,0.0001515366,0.0001158004,0.0002810548,0.9652548,0.0007078166,0.0002579254,0.03262083],"study_design_scores_gemma":[0.00003661971,0.0001655314,0.002465052,0.00003761056,0.00004020734,0.000362659,0.00003268254,0.001065341,0.9808912,0.0002103265,0.0146602,0.00003261902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2833048,0.05213325,0.6435369,0.001075683,0.001155934,0.001971816,0.0009824192,0.001323781,0.01451533],"genre_scores_gemma":[0.3644339,0.04804439,0.5164603,0.0005068273,0.000201972,0.001706817,0.001440259,0.0004657411,0.06673994],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01571489,"threshold_uncertainty_score":0.03124684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04554575159556462,"score_gpt":0.3717131208676332,"score_spread":0.3261673692720686,"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."}}