{"id":"W1631958718","doi":"","title":"Infrafrontier - Mouse models and phenotyping data for the European biomedical research community","year":2009,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Political science; European community; European Research Area; Library science; European union; Regional science; Public administration; Business; Geography; Computer science; International trade","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":[0.02348146,0.00221866,0.002707256,0.009632424,0.001232336,0.005209146,0.00631455,0.003355661,0.03738339],"category_scores_gemma":[0.02215108,0.001973088,0.002090349,0.009454934,0.001069659,0.005892174,0.006725986,0.004962099,0.03498382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679967,"about_ca_system_score_gemma":0.005025108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002071303,"about_ca_topic_score_gemma":0.002480003,"domain_scores_codex":[0.993669,0.001736851,0.001223152,0.0007918053,0.00217379,0.0004054634],"domain_scores_gemma":[0.9685763,0.005112054,0.002967142,0.01806584,0.002888083,0.002390497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004705368,0.0006061055,0.01018246,0.003696778,0.0006196729,0.001372625,0.0007438965,0.004190804,0.07886396,0.06443752,0.6072521,0.2233287],"study_design_scores_gemma":[0.0004165886,0.0003160134,0.01125341,0.0008628222,0.0002838028,0.001227744,0.0001314045,0.00325669,0.0236997,0.03122031,0.9271598,0.0001716903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01422785,0.003376051,0.2955129,0.004586663,0.00107559,0.0009770244,0.5803087,0.07794947,0.02198577],"genre_scores_gemma":[0.01672304,0.002495905,0.1880953,0.001008192,0.000168479,0.002607386,0.7671871,0.01366115,0.008053491],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03738339,"threshold_uncertainty_score":0.1250598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193012646638919,"score_gpt":0.3532778280489953,"score_spread":0.2339765633851034,"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."}}