{"id":"W7065299699","doi":"","title":"Eindverslag COVID-19 programma: Preconditions for Covid-19 mobile apps: A feature-level investigation of user acceptance based on insights from South Korea and Canada, applied in the Netherlands.","year":2023,"lang":"en","type":"report","venue":"Data Archiving and Networked Services (DANS)","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mobile device; Key (lock); Work (physics); Process (computing); Field (mathematics)","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":[0.006326982,0.0004702996,0.000463266,0.001120805,0.001278505,0.003361572,0.0007604398,0.0009187585,0.02610452],"category_scores_gemma":[0.03346539,0.0005504502,0.0004605675,0.001054858,0.0008423538,0.00445369,0.002101092,0.001234666,0.007468617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888251,"about_ca_system_score_gemma":0.005813228,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05543233,"about_ca_topic_score_gemma":0.05408163,"domain_scores_codex":[0.9950164,0.001124711,0.0002790757,0.0006021519,0.002357584,0.0006200488],"domain_scores_gemma":[0.9715356,0.01333355,0.001373742,0.002013501,0.01038956,0.001354055],"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":[0.002964518,0.001761762,0.3350989,0.0023745,0.00007720759,0.0009362036,0.03293312,0.002767658,0.03906567,0.04114117,0.123792,0.4170873],"study_design_scores_gemma":[0.0002897611,0.002083476,0.6348197,0.001144492,0.0001798666,0.000897332,0.02983003,0.02505457,0.03897661,0.009234664,0.2572292,0.0002601951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7074397,0.0006255287,0.06820996,0.003923827,0.0001669559,0.004415373,0.0232954,0.007886191,0.184037],"genre_scores_gemma":[0.8936743,0.000283307,0.04514367,0.0003965721,0.0000316103,0.002837861,0.01112102,0.001719174,0.04479248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9445677,"threshold_uncertainty_score":0.1102194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07254999587805082,"score_gpt":0.2996076527449305,"score_spread":0.2270576568668796,"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."}}