{"id":"W2792383852","doi":"10.1007/s10926-018-9768-8","title":"“Apping Up”: Prospects for Information Technology Innovation in Return to Work Communication","year":2018,"lang":"en","type":"article","venue":"Journal of Occupational Rehabilitation","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"","keywords":"Health psychology; Work (physics); Business; Knowledge management; Engineering; Computer science; Medicine; Public health; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00555783,0.0001091033,0.0002423411,0.004311766,0.0001610864,0.0001098775,0.0005604152,0.0002104546,0.00003738074],"category_scores_gemma":[0.03205337,0.00009487143,0.00007173196,0.005776769,0.0001610396,0.00159615,0.00006674469,0.0002470664,0.00006346227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737055,"about_ca_system_score_gemma":0.0002257969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002570216,"about_ca_topic_score_gemma":0.00002989534,"domain_scores_codex":[0.9967635,0.0001185101,0.001963214,0.0001660476,0.0008248263,0.0001638844],"domain_scores_gemma":[0.9906486,0.001208123,0.001361012,0.0003830753,0.006357068,0.00004218142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001458045,0.0001282664,0.8016526,0.0000100859,0.0000109117,2.50209e-7,0.004922867,0.0003033598,0.001467871,0.1060044,0.008721158,0.07532021],"study_design_scores_gemma":[0.0009683752,0.000732937,0.863149,0.0001052742,0.000006081893,0.000008574097,0.002189237,0.0002599505,0.0005516708,0.1185741,0.0133428,0.0001118938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9084392,0.00001593523,0.07963546,0.01074564,0.0004591101,0.0005603381,0.000007382842,0.00003056751,0.0001064283],"genre_scores_gemma":[0.9015757,0.000001316342,0.09790897,0.0003091189,0.00006788161,0.00005419943,0.00001363279,0.000005881739,0.00006322587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07520832,"threshold_uncertainty_score":0.9761001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0941132099646638,"score_gpt":0.432666473953101,"score_spread":0.3385532639884372,"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."}}