{"id":"W653113122","doi":"10.71781/4953","title":"Polymères à empreinte moléculaire pour la détection rapide des résidus de tétracyclines dans le lait","year":2007,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Biopolymer Synthesis and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art","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":[0.0005724808,0.0006897466,0.000405443,0.0002986413,0.0004523756,0.0006800175,0.0003920812,0.000859599,0.004298141],"category_scores_gemma":[0.0007930419,0.0004249683,0.0004392967,0.0002210525,0.0004617145,0.0005209821,0.000334908,0.001113327,0.00168012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007872859,"about_ca_system_score_gemma":0.0005792147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004338036,"about_ca_topic_score_gemma":0.007618859,"domain_scores_codex":[0.999589,0.00005415331,0.00001192566,0.0001061015,0.0001599758,0.00007875766],"domain_scores_gemma":[0.9996766,0.0001333674,0.00004417373,0.00003444551,0.0000568351,0.00005451166],"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":[0.00007312357,0.00002921044,0.00008383259,0.00005490618,0.00000765075,0.00003777071,0.00005527806,0.0002043159,0.9937318,0.0001919888,0.0001007047,0.00542949],"study_design_scores_gemma":[0.00002064104,0.000231945,0.0007489372,0.000009526399,0.00001579589,0.00006517803,0.00001828102,0.001146764,0.9934163,0.0000354428,0.004280678,0.00001068733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8780054,0.006488283,0.1023012,0.0003879651,0.0002182197,0.0003637013,0.0002746317,0.001135082,0.01082548],"genre_scores_gemma":[0.8565578,0.005388369,0.07326645,0.000252868,0.00006224082,0.0002919071,0.0004155114,0.0002639385,0.063501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004338036,"threshold_uncertainty_score":0.01437873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01863521659427508,"score_gpt":0.3321945264165176,"score_spread":0.3135593098222426,"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."}}