{"id":"W6917841570","doi":"10.58079/o65q","title":"NICE partners with international health technology assessment bodies to boost collaboration on shared opportunities and challenges","year":2022,"lang":"en","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nice; Health technology; Technology assessment; Public health; mHealth; Information technology","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":[0.1855725,0.002271988,0.004295485,0.01037104,0.005673762,0.02267315,0.006928086,0.02216601,0.067122],"category_scores_gemma":[0.3093021,0.001922798,0.007561004,0.009512596,0.005446366,0.01311235,0.02464437,0.02666003,0.02660327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01695832,"about_ca_system_score_gemma":0.104992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790719,"about_ca_topic_score_gemma":0.02043834,"domain_scores_codex":[0.758839,0.1428273,0.01498699,0.006819046,0.06001007,0.01651767],"domain_scores_gemma":[0.440603,0.1495558,0.0241743,0.03658588,0.229639,0.1194421],"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":[0.0002166896,0.000169259,0.000995744,0.0008067131,0.0001805464,0.0002148565,0.0004738755,0.0003846562,0.0001085936,0.01625873,0.9221622,0.05802813],"study_design_scores_gemma":[0.000185073,0.0001032111,0.001683521,0.002027529,0.00007145563,0.0002580973,0.0007464477,0.0002983908,0.0001366526,0.008336434,0.9860833,0.00006984199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007289276,0.01300009,0.01259125,0.8596321,0.01998826,0.001262523,0.001969269,0.001219679,0.08960786],"genre_scores_gemma":[0.04332352,0.02726927,0.1493911,0.5784371,0.02757435,0.007778905,0.01587517,0.005832713,0.1445178],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1855725,"threshold_uncertainty_score":0.9814128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3784387742058679,"score_gpt":0.4074468653224363,"score_spread":0.02900809111656844,"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."}}