{"id":"W2735378828","doi":"10.5539/gjhs.v9n9p126","title":"Knowledge Translation Platform Increasing Use of Research Evidence in Physical Activity Policy Making - A Case Study in Finland","year":2017,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission","keywords":"Knowledge translation; Thematic analysis; Public relations; Institutionalisation; Nonprobability sampling; Evidence-based policy; Government (linguistics); Qualitative research; Evidence-based practice; Political science; Public policy; Psychology; Medicine; Sociology; Knowledge management; Alternative medicine; Computer science; Environmental health; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09196725,0.0007084072,0.0008467908,0.00355271,0.01844698,0.01554498,0.003312024,0.007767828,0.005284744],"category_scores_gemma":[0.09555689,0.0009799695,0.00138554,0.004952197,0.01155503,0.01484181,0.02232533,0.004904079,0.0009294249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.014419,"about_ca_system_score_gemma":0.03650307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004292669,"about_ca_topic_score_gemma":0.005655605,"domain_scores_codex":[0.8996809,0.08160561,0.005156641,0.002528156,0.005628388,0.005400455],"domain_scores_gemma":[0.8238445,0.1490078,0.006261112,0.007508925,0.005756019,0.007621633],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004788901,0.00142279,0.01487696,0.004084694,0.0000857417,0.036973,0.7441375,0.001491207,0.00266505,0.03132052,0.006160558,0.1563032],"study_design_scores_gemma":[0.0003121008,0.001302898,0.01349431,0.006527875,0.0002000502,0.007513248,0.7923742,0.003127739,0.004964545,0.02102547,0.1488946,0.0002630463],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8720102,0.005758497,0.01873563,0.0397695,0.0006182144,0.003584457,0.0002833683,0.000186841,0.05905325],"genre_scores_gemma":[0.9745193,0.002000931,0.01738403,0.001708677,0.00009086514,0.001308571,0.0001001303,0.00005252986,0.002835044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9080328,"threshold_uncertainty_score":0.4863751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9293670252730396,"score_gpt":0.7907934429122335,"score_spread":0.1385735823608061,"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."}}