{"id":"W6945298060","doi":"10.25345/c5cf9jh3m","title":"MassIVE MSV000091850 - Soybean 24h seed germination exudate proteome in response to LCO and Th17","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Germination; Proteome; Exudate; Seed treatment","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002607793,0.0008899314,0.0009636348,0.002774551,0.0001951902,0.0003131207,0.0008847945,0.0006950904,0.0003346431],"category_scores_gemma":[0.002995989,0.0009439463,0.0001191778,0.00185153,0.0001993832,0.0003618211,0.000864488,0.001009841,0.04053626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007471406,"about_ca_system_score_gemma":0.0003595485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009621201,"about_ca_topic_score_gemma":0.007209246,"domain_scores_codex":[0.9943718,0.001179257,0.0008722669,0.001525097,0.0009998595,0.001051733],"domain_scores_gemma":[0.9965737,0.000660957,0.0005496542,0.001611013,0.0001787765,0.000425852],"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":[0.002017993,0.0001239665,0.00009322814,0.0002375201,0.00006726597,0.001185035,0.0004303345,0.0000144171,0.006603537,0.00000421151,0.989035,0.0001875616],"study_design_scores_gemma":[0.001878249,0.0004375763,0.06107656,0.0008517653,0.0001296162,0.00003306672,0.0003482702,0.00005153814,0.0005673158,0.0002516527,0.932961,0.001413361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05605531,0.00007689164,0.000001885645,0.000404578,0.0004146594,0.003351337,0.9393047,0.0003251561,0.00006549704],"genre_scores_gemma":[0.001780414,0.00002178213,0.0001448139,0.0002233776,0.0002979485,0.001118688,0.9935116,0.0003661322,0.00253524],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06098333,"threshold_uncertainty_score":0.9993011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050597642643072,"score_gpt":0.2963456456064233,"score_spread":0.2758396691799926,"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."}}