{"id":"W4317604157","doi":"10.1101/2023.01.19.524422","title":"A decade of hidden phytoplasmas unveiled through citizen science","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Phytoplasmas and Hemiptera pathogens","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep Saint-Jean-sur-Richelieu; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université Laval","funders":"","keywords":"Phytoplasma; Citizen science; Government (linguistics); Agriculture; Political science; TRACE (psycholinguistics); Geography; Biology; Environmental planning; Environmental resource management; Ecology; Botany; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003853952,0.0002745277,0.0004136031,0.001427507,0.002565806,0.00536058,0.0003783184,0.001784941,0.006801229],"category_scores_gemma":[0.003550108,0.0001603433,0.0002185017,0.001872878,0.00370118,0.003132007,0.002576722,0.002930369,0.0014479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006431143,"about_ca_system_score_gemma":0.007054704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06904682,"about_ca_topic_score_gemma":0.1037343,"domain_scores_codex":[0.9989914,0.0001813709,0.00002638388,0.0001392799,0.0004888719,0.0001726206],"domain_scores_gemma":[0.9953517,0.001133999,0.0004210558,0.0005901091,0.001388661,0.001114426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002769386,0.0001408297,0.03732696,0.001263674,0.0001432365,0.001633817,0.02948217,0.0006691586,0.03066319,0.07560373,0.516537,0.3062593],"study_design_scores_gemma":[0.000005555886,0.00002418546,0.02067602,0.0003950654,0.00002254591,0.0003280256,0.01039141,0.0002255014,0.00301961,0.01730147,0.947567,0.00004354691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2052606,0.09437603,0.02397318,0.5151158,0.00981042,0.000147981,0.01286859,0.001840464,0.1366068],"genre_scores_gemma":[0.7113113,0.08307569,0.02760315,0.0510291,0.004428293,0.00008387538,0.006979585,0.0006683252,0.1148206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06904682,"threshold_uncertainty_score":0.1372899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03156471177085921,"score_gpt":0.2337619513794687,"score_spread":0.2021972396086095,"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."}}