{"id":"W3034307258","doi":"10.3390/metabo10060238","title":"Chemotaxonomic Profiling of Canadian Alternaria Populations Using High-Resolution Mass Spectrometry","year":2020,"lang":"en","type":"article","venue":"Metabolites","topic":"Fungal Plant Pathogen Control","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Western University","funders":"Agriculture and Agri-Food Canada; Government of Canada","keywords":"Profiling (computer programming); Alternaria; Mass spectrometry; Computational biology; High resolution; Biology; Chromatography; Chemistry; Computer science; Botany; Geography; Remote sensing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001157916,0.00009803368,0.0001974175,0.00004906717,0.00009839101,0.00003120308,0.0001538836,0.00005180729,0.0002220354],"category_scores_gemma":[0.0001158359,0.00004596395,0.00006838193,0.0006159288,0.00001830326,0.0001025031,0.00001844963,0.00007619844,0.00002524097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002771008,"about_ca_system_score_gemma":0.00002115168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03566299,"about_ca_topic_score_gemma":0.01256719,"domain_scores_codex":[0.9991848,0.00004496927,0.0002316647,0.0001942875,0.0001046789,0.0002395721],"domain_scores_gemma":[0.9996074,0.00004463341,0.0001026375,0.00003831517,0.00003809027,0.000168857],"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":[0.000008149154,0.000005426568,0.03427399,0.000004401152,0.000009612688,0.000001673617,0.000009067647,0.0001674103,0.9638384,0.001398091,0.00002134856,0.0002624322],"study_design_scores_gemma":[0.0002808995,0.0001045231,0.2791235,0.00001338448,0.0001024582,0.000006351676,0.000121289,0.02465293,0.689813,0.0004630544,0.004958648,0.0003599433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973091,0.0003316498,0.0001163125,0.001075217,0.0001235709,0.0002209296,0.0005381706,0.00002812585,0.000256954],"genre_scores_gemma":[0.9826378,0.000003656852,0.01662336,0.0001647334,0.0004242781,0.000003600744,0.0001306757,0.000001044542,0.00001083883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2740254,"threshold_uncertainty_score":0.9707586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0609768191525773,"score_gpt":0.2164811646492105,"score_spread":0.1555043454966332,"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."}}