{"id":"W2579409181","doi":"10.1007/978-1-0716-3159-1","title":"Plant-Pathogen Interactions","year":2023,"lang":"en","type":"book","venue":"Methods in molecular biology","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Variety (cybernetics); Biology; Current (fluid); Computational biology; Computer science; Engineering; Artificial intelligence; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0007073511,0.0002835764,0.0004906451,0.00006779066,0.00007418685,0.00001954248,0.0004215179,0.0005400725,0.0002221141],"category_scores_gemma":[0.0001578109,0.0001163358,0.0002192757,0.0002282794,0.00009053542,0.00001414165,0.0001766599,0.000506851,0.0001305438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000745719,"about_ca_system_score_gemma":0.00003294062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002526847,"about_ca_topic_score_gemma":0.0007549938,"domain_scores_codex":[0.9979058,0.0006631772,0.0003686754,0.0005845947,0.00008490092,0.0003928713],"domain_scores_gemma":[0.9988301,0.0007802109,0.0001659226,0.0001204006,0.00003133272,0.00007198309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001306146,0.00001659882,0.00004531414,0.00001029575,0.00002898786,0.0002253626,0.000005442467,0.000001936884,0.957461,0.003269306,0.002833819,0.03608885],"study_design_scores_gemma":[0.0000723375,0.00009367232,0.0006706335,0.0001123232,0.00002719711,0.00005060478,0.00001498594,0.00003110337,0.003009687,0.03437294,0.9611205,0.0004239919],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006517251,0.0114368,0.05816511,0.002769437,0.009886486,0.002669398,0.02118645,0.001215782,0.8861533],"genre_scores_gemma":[0.00002620372,0.0009360285,0.1310635,0.0006774435,0.0006923387,0.0001223299,0.006283048,0.00001283395,0.8601863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9582867,"threshold_uncertainty_score":0.4744037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04158301229666524,"score_gpt":0.3422367589104655,"score_spread":0.3006537466138002,"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."}}