{"id":"W38369588","doi":"10.1002/mdc3.13999","title":"Remote Deep Brain Stimulation Programming in Canada.","year":2024,"lang":"en","type":"preprint","venue":"PubMed","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation; University of Toronto; Toronto Western Hospital","funders":"","keywords":"Food security; Productivity; Agriculture; Agricultural economics; World population; European union; Business; Agricultural productivity; Population; Production (economics); Consumption (sociology); Action plan; Staple food; Position (finance); Natural resource economics; International trade; Agricultural science; Geography; Economics; Economic growth; Developing country; Environmental science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003267606,0.0001413479,0.0001802704,0.00001121883,0.00003736221,0.00009886477,0.0001928921,0.0001370713,0.00003469248],"category_scores_gemma":[0.0001368315,0.00005599159,0.00006604121,0.0001804828,0.0000128302,0.0000178113,0.0003560394,0.0004270833,0.000002785016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003626188,"about_ca_system_score_gemma":0.00007483141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8799148,"about_ca_topic_score_gemma":0.996542,"domain_scores_codex":[0.9987663,0.00005568769,0.0002414275,0.0003956497,0.0001995393,0.0003413839],"domain_scores_gemma":[0.9996267,0.0001424706,0.00004986054,0.00006696683,0.00002138284,0.00009264245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001053188,0.000009405224,0.007112093,0.00003799679,0.000005450795,0.00001509571,0.00003577613,0.0001040901,0.00001939548,0.000008211065,0.0002321366,0.9924098],"study_design_scores_gemma":[0.0000302458,0.000002784732,0.9840519,0.00002432232,0.000006334489,7.361937e-7,0.00006633245,0.002719691,0.00002337704,0.002985672,0.009929609,0.0001590044],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913003,0.0004387367,0.000001266197,0.005977521,0.0005428905,0.0007591931,0.0000223213,0.00006010177,0.0008977137],"genre_scores_gemma":[0.9989434,0.000007124249,0.00002254669,0.0001779925,0.000227708,0.0001705554,0.00008743293,8.879791e-7,0.0003623725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922508,"threshold_uncertainty_score":0.2283271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287692340191945,"score_gpt":0.2142957511331885,"score_spread":0.185526517113994,"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."}}