{"id":"W2188699152","doi":"","title":"Greece and FYROM: Mobile Healthcare Provision","year":2008,"lang":"en","type":"article","venue":"","topic":"Regional Development and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Telemedicine; Work (physics); eHealth; Quality (philosophy); Business; Quarter (Canadian coin); Population; Geography; Economic growth; Engineering; Medicine; Economics; Environmental health","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":[0.0005368855,0.0002118149,0.0002412443,0.0006587388,0.0006895255,0.002063813,0.0003763011,0.001001918,0.01000084],"category_scores_gemma":[0.001518264,0.00009383928,0.0002319554,0.001049925,0.0007645055,0.001084585,0.003173981,0.000512148,0.001651807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002387838,"about_ca_system_score_gemma":0.003425959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01686483,"about_ca_topic_score_gemma":0.01171169,"domain_scores_codex":[0.9992113,0.0002380805,0.00004899991,0.000122488,0.0001222607,0.0002568661],"domain_scores_gemma":[0.9996475,0.00007195165,0.00008178312,0.00004173728,0.00006158995,0.00009547729],"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":[0.0005987492,0.0002295506,0.08678206,0.001499436,0.00008884339,0.004795808,0.02145182,0.003077869,0.004982126,0.1957531,0.05245816,0.6282824],"study_design_scores_gemma":[0.0001131277,0.0003080542,0.2200353,0.0008992019,0.00004334946,0.004928141,0.03058074,0.001845457,0.001656097,0.01077149,0.728766,0.00005292458],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5727713,0.008839222,0.005509186,0.0221264,0.0005697171,0.0003912223,0.002702328,0.0004078164,0.3866827],"genre_scores_gemma":[0.9571218,0.002591836,0.002899916,0.001625004,0.00006305787,0.0001377065,0.001323912,0.00003246922,0.03420426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01686483,"threshold_uncertainty_score":0.03353333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339746247219901,"score_gpt":0.3523182354487434,"score_spread":0.2989207729765444,"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."}}