{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004218163,0.0003831842,0.0001938236,0.0005144697,0.001012816,0.00112244,0.0005532129,0.000488984,0.01536162],"category_scores_gemma":[0.0009596216,0.0001328679,0.0002422366,0.001116117,0.0004845975,0.0003701028,0.0006921082,0.0007252106,0.002002643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01497156,"about_ca_system_score_gemma":0.03386483,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.917798,"about_ca_topic_score_gemma":0.9569247,"domain_scores_codex":[0.9997808,0.00001942775,0.00000710045,0.00003045265,0.00008195714,0.00008017321],"domain_scores_gemma":[0.9996256,0.00003892948,0.00001099947,0.00001284251,0.0001990221,0.0001126914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001455724,0.0003614574,0.01761929,0.0006341513,0.0001222822,0.001341269,0.001455112,0.004380559,0.008965183,0.01371498,0.1399869,0.8099631],"study_design_scores_gemma":[0.0006929577,0.0007815177,0.2395809,0.0007471467,0.0002505802,0.002945122,0.005132956,0.01227382,0.01439002,0.01462737,0.7083717,0.0002059055],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3937852,0.06170416,0.03315675,0.05432871,0.00300706,0.001064781,0.02387805,0.002443879,0.4266315],"genre_scores_gemma":[0.7695534,0.02292475,0.01465325,0.004434733,0.0002291136,0.0002586115,0.005655433,0.0003390381,0.1819517],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08220196,"threshold_uncertainty_score":0.1653721,"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."}}