{"id":"W7084088599","doi":"10.6084/m9.figshare.29955889","title":"Additional file 2 of Prioritizing policy issues for knowledge translation: a critical interpretive synthesis","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Government (linguistics); Information system; Identification (biology); Key (lock); Process (computing)","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":[0.005021114,0.001347908,0.0009735345,0.003818787,0.001205152,0.003921851,0.002695347,0.001569305,0.8998037],"category_scores_gemma":[0.06733367,0.0008627948,0.001192356,0.004114718,0.0006611748,0.004273363,0.002190416,0.001424991,0.230068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037618,"about_ca_system_score_gemma":0.003691887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105169,"about_ca_topic_score_gemma":0.01460151,"domain_scores_codex":[0.9983443,0.0005937626,0.0002184335,0.0002930991,0.0004223999,0.0001280328],"domain_scores_gemma":[0.9125292,0.07456697,0.001283892,0.002493355,0.008686669,0.0004399203],"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":[0.0004639504,0.00008808947,0.0007903797,0.003827089,0.000034747,0.0001405909,0.0004846652,0.001148696,0.0001892818,0.006836256,0.9596537,0.02634257],"study_design_scores_gemma":[0.001829703,0.0001443227,0.003879452,0.004538138,0.0001389593,0.0003297227,0.002269649,0.005885007,0.002128973,0.04293107,0.9357588,0.000166244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004660761,0.00005251841,0.00643293,0.000859114,0.0001964176,0.0007106212,0.9734301,0.002034972,0.01581734],"genre_scores_gemma":[0.03242672,0.0004522373,0.1025126,0.001641759,0.000495672,0.007797357,0.790986,0.006949128,0.05673852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8998037,"threshold_uncertainty_score":0.1429179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07358792637808802,"score_gpt":0.3543365748911708,"score_spread":0.2807486485130827,"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."}}