{"id":"W6981563062","doi":"","title":"Episode 40 - Telerehabilitation Myth Busters","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telerehabilitation; Telemedicine; Telehealth; Cover (algebra); Bust","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001097029,0.0006130537,0.0003493447,0.0006933834,0.007583027,0.004051126,0.001416843,0.003410426,0.3066336],"category_scores_gemma":[0.0033693,0.0003549905,0.0003945298,0.0007063416,0.0007411139,0.002211829,0.004529627,0.004553904,0.08312991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005556792,"about_ca_system_score_gemma":0.006155021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1710704,"about_ca_topic_score_gemma":0.4551296,"domain_scores_codex":[0.9988123,0.0000928447,0.00002229565,0.00008072297,0.0006098635,0.0003819746],"domain_scores_gemma":[0.9979129,0.0001302905,0.00003713065,0.00008763854,0.000773056,0.00105895],"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":[0.000007246559,0.000008547536,0.00004339614,0.00001420157,3.586436e-7,0.00006012891,0.0002084417,0.000006850914,0.00005934513,0.0004037286,0.9928257,0.006361966],"study_design_scores_gemma":[0.000002301549,0.000004411367,0.0002751126,0.00003220251,4.256504e-7,0.00005019283,0.0004700297,0.000007982198,0.00003424868,0.000114427,0.9990066,0.000002209342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003766085,0.004824806,0.001150821,0.1118657,0.04395119,0.0005430337,0.004707821,0.00249906,0.8266915],"genre_scores_gemma":[0.008920602,0.001933655,0.0006573886,0.01686518,0.003104816,0.0001422974,0.001808095,0.0004681346,0.9660998],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3066336,"threshold_uncertainty_score":0.989003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007733073290067752,"score_gpt":0.1641721397974812,"score_spread":0.1564390665074135,"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."}}