{"id":"W7071878782","doi":"","title":"Synthèse d'une librairie d'analogues monomériques et dimériques du sLe X","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sequence (biology); Benzyl benzoate; Melting temperature","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004292872,0.0005855237,0.0003505423,0.0002476689,0.0003132146,0.0009275051,0.0003150348,0.0005216375,0.01721665],"category_scores_gemma":[0.0004429325,0.0002726275,0.0005341529,0.0002296525,0.0004297122,0.001183419,0.000661173,0.001270108,0.003807428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004183067,"about_ca_system_score_gemma":0.0003990617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009637094,"about_ca_topic_score_gemma":0.001555189,"domain_scores_codex":[0.9997101,0.00005090043,0.00001710873,0.00008573705,0.00008990172,0.00004619643],"domain_scores_gemma":[0.9997795,0.00006104981,0.00003565163,0.00004029665,0.00005290656,0.00003054842],"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":[0.0003959687,0.00009362296,0.000570563,0.0006632528,0.0000335638,0.0002067488,0.0002617681,0.0003589993,0.9500288,0.003843142,0.0008275087,0.04271621],"study_design_scores_gemma":[0.00002881233,0.0009061198,0.00104131,0.00006492686,0.00003297191,0.0004440934,0.0001425453,0.0004837457,0.8723512,0.0003765278,0.1240984,0.00002939092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7906818,0.03236094,0.074811,0.001333017,0.001228504,0.0004216351,0.001270436,0.0007433631,0.09714923],"genre_scores_gemma":[0.7742501,0.01805719,0.04358374,0.00103605,0.0001622516,0.0003552818,0.001401781,0.0003348259,0.1608187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01721665,"threshold_uncertainty_score":0.05759543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00378264918862113,"score_gpt":0.1539903346355641,"score_spread":0.150207685446943,"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."}}