{"id":"W4392452876","doi":"10.32920/25343425.v1","title":"Transforming health: Ontario startups in decentralized and connected care","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Global Healthcare and Medical Tourism","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Mindset; Business; Entrepreneurship; Population; Population ageing; Economic growth; Marketing; Finance; Economics; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001857916,0.0003052168,0.000169232,0.000600723,0.01256683,0.007078208,0.001268335,0.002164596,0.01932257],"category_scores_gemma":[0.003494183,0.0003031341,0.0004136543,0.001548369,0.004275475,0.003186652,0.005571338,0.002165662,0.001792728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08597504,"about_ca_system_score_gemma":0.1692092,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517576,"about_ca_topic_score_gemma":0.9871804,"domain_scores_codex":[0.997391,0.0003851088,0.00004411007,0.0001538093,0.0008452819,0.001180658],"domain_scores_gemma":[0.9936414,0.0003969862,0.0001917445,0.000222863,0.0009441766,0.004602827],"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":[0.0001876298,0.0001756092,0.0229214,0.000447593,0.00002438089,0.002101002,0.03141109,0.0006007497,0.001513047,0.1726817,0.6239747,0.1439611],"study_design_scores_gemma":[0.0000387848,0.00005337576,0.02267435,0.0001807646,0.000009867621,0.0001281779,0.01905785,0.0003189209,0.0003512384,0.004414818,0.9527319,0.00004001696],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1264463,0.006374216,0.002860487,0.3372878,0.002347066,0.0006160025,0.0018047,0.0003284592,0.521935],"genre_scores_gemma":[0.5552248,0.00911841,0.005899974,0.02682169,0.0004513583,0.0002746602,0.001168092,0.0002446493,0.4007964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08597504,"threshold_uncertainty_score":0.6237955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0805127460150043,"score_gpt":0.4542140404109911,"score_spread":0.3737012943959868,"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."}}