{"id":"W6958371100","doi":"10.6084/m9.figshare.21258287.v1","title":"Additional file 1 of A healthcare workers’ mHealth adoption instrument for the developing world","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"mHealth; Developing country; Health care; eHealth; Telemedicine; Mobile device","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001857026,0.0006753532,0.0006758915,0.002291319,0.0009613929,0.0009827137,0.001075314,0.0008404444,0.8265115],"category_scores_gemma":[0.03436249,0.0003950302,0.0005401562,0.004412421,0.0002508632,0.001737124,0.0009788381,0.001040116,0.1216052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001016114,"about_ca_system_score_gemma":0.002486032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01118709,"about_ca_topic_score_gemma":0.01614255,"domain_scores_codex":[0.9990815,0.0002210395,0.0001973418,0.0001540743,0.0002157736,0.0001302094],"domain_scores_gemma":[0.9709865,0.02107383,0.002159047,0.0009124318,0.004278222,0.0005898686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001913424,0.0001425125,0.003384872,0.00126903,0.00001711152,0.00002913774,0.0001157354,0.0001606176,0.00003038259,0.0007983086,0.985908,0.007952994],"study_design_scores_gemma":[0.00346692,0.0005073592,0.07920704,0.004722321,0.0001372702,0.0004331945,0.002162881,0.001134763,0.0005225398,0.01020769,0.8973438,0.0001543091],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005150839,0.00001681429,0.0002122745,0.0001611539,0.0000201965,0.0002705093,0.9963742,0.00006300656,0.002366805],"genre_scores_gemma":[0.01861564,0.0002362824,0.003528118,0.0008615603,0.0001312945,0.00823391,0.9454944,0.0003315585,0.02256718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8265115,"threshold_uncertainty_score":0.2474602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570198562562075,"score_gpt":0.412043973600823,"score_spread":0.2550241173446155,"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."}}