{"id":"W6904609634","doi":"10.1371/journal.pone.0299826.s002","title":"Description of linked ICES datasets.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson regression; Cohort; Service (business); Variation (astronomy); Health care; Association (psychology); Cross-sectional study","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":[0.004188797,0.001239511,0.002271274,0.006382197,0.0007793341,0.003855552,0.002987315,0.002351589,0.3310694],"category_scores_gemma":[0.03119916,0.0008323708,0.001657712,0.01387096,0.0003693374,0.0022554,0.001961291,0.002250602,0.1349901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002098859,"about_ca_system_score_gemma":0.006680028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02594622,"about_ca_topic_score_gemma":0.02471693,"domain_scores_codex":[0.9968336,0.000644993,0.0009668421,0.0007382479,0.0004774713,0.0003388708],"domain_scores_gemma":[0.9904438,0.004410481,0.001196976,0.001363806,0.002008966,0.0005760067],"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":[0.0002391408,0.00001758668,0.001572891,0.004169352,0.0001205243,0.00004308151,0.00005889628,0.0004125443,0.0000794869,0.002123707,0.9843737,0.006789124],"study_design_scores_gemma":[0.000975261,0.000029908,0.005394483,0.003162865,0.0001780286,0.00009745001,0.0002080689,0.0006121395,0.000145796,0.006838096,0.9822924,0.00006553406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004850418,0.00007180549,0.000120811,0.0001075784,0.00002983477,0.00005649634,0.9985431,0.0001902623,0.0008315432],"genre_scores_gemma":[0.001141936,0.0003316121,0.0013302,0.0003743683,0.00004888099,0.001312197,0.9938987,0.000305779,0.001256259],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3310694,"threshold_uncertainty_score":0.9541484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256325625732447,"score_gpt":0.3878238042456289,"score_spread":0.2621912416723842,"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."}}