{"id":"W4298412679","doi":"","title":"New insights in the molecular defence of the chicken egg","year":2010,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer 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":[0.0003823852,0.0005723302,0.0006609902,0.0006297328,0.0002552273,0.001154785,0.0005536962,0.001057752,0.004223538],"category_scores_gemma":[0.0001934309,0.0002404218,0.0006105079,0.0002528235,0.0008545361,0.002332775,0.000571283,0.001702545,0.001255159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004285221,"about_ca_system_score_gemma":0.0001956794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992398,"about_ca_topic_score_gemma":0.000373657,"domain_scores_codex":[0.9998704,0.00002155069,0.000008127674,0.00004368072,0.00002507686,0.00003122997],"domain_scores_gemma":[0.9998598,0.00004843275,0.0000207382,0.00001428857,0.000025046,0.00003166975],"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":[0.0007790203,0.0000634333,0.0007071838,0.001392465,0.0000611346,0.0009771808,0.0003089437,0.0006298293,0.9239516,0.01289598,0.001432458,0.05680082],"study_design_scores_gemma":[0.0002424678,0.003151345,0.04304757,0.0009206223,0.0004193994,0.008396007,0.003079302,0.01200191,0.532118,0.08307391,0.3133698,0.0001796772],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.4319102,0.4652902,0.05056257,0.01940924,0.003140295,0.0001016919,0.0005963836,0.0002593372,0.02872999],"genre_scores_gemma":[0.7663355,0.1617431,0.02860478,0.004857495,0.002094246,0.00008571792,0.0007778881,0.0001092038,0.03539204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004223538,"threshold_uncertainty_score":0.0141291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137213556703234,"score_gpt":0.2109992749464057,"score_spread":0.1972779192760823,"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."}}