{"id":"W2022383423","doi":"10.1016/j.dib.2014.09.006","title":"Data set for the proteomic inventory and quantitative analysis of chicken uterine fluid during eggshell biomineralization","year":2014,"lang":"en","type":"article","venue":"Data in Brief","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Conseil Régional du Centre-Val de Loire; Institut National de la Santé et de la Recherche Médicale; Institut National de la Recherche Agronomique; Agence Nationale de la Recherche; University of Ottawa","keywords":"Biomineralization; Proteomics; Eggshell; Mineralization (soil science); Chemistry; Quantitative proteomics; Biology; Biochemistry; Gene; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009648729,0.00006075992,0.0001492841,0.00001653279,0.00007097598,0.00002911759,0.0005509938,0.00002398969,0.0000397258],"category_scores_gemma":[0.0003743361,0.000021907,0.00001602895,0.0003177926,0.00006461744,0.0002184128,0.000407429,0.00003007637,6.357729e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003171621,"about_ca_system_score_gemma":0.000002410378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253164,"about_ca_topic_score_gemma":0.00242566,"domain_scores_codex":[0.9992385,0.00008816984,0.0001912784,0.0003132069,0.00007771714,0.00009114945],"domain_scores_gemma":[0.9994344,0.0001422388,0.00008475252,0.0002951862,0.00002391904,0.0000195021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002229419,0.0001036104,0.08990074,0.0001569877,0.0002179142,3.608216e-7,0.0003462213,0.00002483476,0.8976187,0.002205573,0.002130202,0.007071956],"study_design_scores_gemma":[0.0002051339,0.00009880116,0.9066201,0.00001602441,0.0001091056,4.405387e-7,0.0001211156,0.07043807,0.002142545,0.0001769045,0.01995474,0.0001169841],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945899,0.00008797238,0.0001028481,0.0007775021,0.00002168191,0.000235568,0.004165852,0.000006825166,0.00001185395],"genre_scores_gemma":[0.9907902,0.00006444748,0.0002333827,0.00006484123,0.00007920183,0.000007143465,0.008726306,5.528601e-7,0.00003389102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8954761,"threshold_uncertainty_score":0.1894418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1428040339265271,"score_gpt":0.3419955870949201,"score_spread":0.1991915531683929,"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."}}