{"id":"W6888983535","doi":"10.25345/c5sh8v","title":"MassIVE MSV000085394 - Metarhizium Co-culture with bean","year":2020,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Population; Identification (biology); Pathogenicity; Natural enemies","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":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0002171362,0.001512665,0.001644899,0.000352243,0.0003088314,0.0003169619,0.001827703,0.0008459103,0.008888077],"category_scores_gemma":[0.0002579798,0.001151644,0.0004001362,0.0009028982,0.0004634418,0.0003001875,0.0003826519,0.002159115,0.1070266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003702432,"about_ca_system_score_gemma":0.0004008556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002499937,"about_ca_topic_score_gemma":0.002234783,"domain_scores_codex":[0.9946167,0.0003433092,0.000657399,0.001715517,0.001566277,0.001100737],"domain_scores_gemma":[0.9959301,0.0001114402,0.0008712464,0.002075984,0.0002561815,0.000755011],"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":[0.0004012858,0.0001677175,0.00002636469,0.0002958195,0.001317608,0.00173924,0.0002361383,0.00001059107,0.0001560313,0.00003039678,0.9955893,0.0000294763],"study_design_scores_gemma":[0.001220642,0.0005488017,0.00006534986,0.0002245706,0.001676957,0.0000804797,0.0002865202,0.000003703261,0.000450439,0.00004242987,0.9938518,0.001548268],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001903025,0.0007945492,0.000004604004,0.0001610114,0.0004044729,0.00110809,0.9936019,0.0004815734,0.003424742],"genre_scores_gemma":[0.0000689358,0.00008278343,0.0005741544,0.001284617,0.001344625,0.0001557835,0.9948367,0.0004212248,0.001231103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09813855,"threshold_uncertainty_score":0.9997622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556926572382808,"score_gpt":0.2635192385334674,"score_spread":0.2479499728096393,"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."}}