{"id":"W1752956309","doi":"10.22230/src.2014v5n3a175","title":"Knowledge Translation and Strategic Communications: Unpacking Differences and Similarities for Scholarly and Research Communications","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; York University; University of Toronto","funders":"","keywords":"Humanities; CLARITY; Political science; Sociology; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01359353,0.000178558,0.00027286,0.0005788431,0.004491005,0.006214658,0.002847582,0.0002330121,9.885783e-7],"category_scores_gemma":[0.002144229,0.0001616777,0.00002840793,0.0006532001,0.002664239,0.004841401,0.00302472,0.001717207,0.000002375397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004176676,"about_ca_system_score_gemma":0.0001358562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003451102,"about_ca_topic_score_gemma":0.001179089,"domain_scores_codex":[0.9941209,0.004005366,0.0003856347,0.0004889296,0.0005225852,0.0004765708],"domain_scores_gemma":[0.9853103,0.009823035,0.00009122432,0.003006835,0.00157385,0.0001947936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002577232,0.0001228056,0.007467711,0.00018042,0.00003305692,1.571885e-7,0.009205211,1.551329e-7,0.001069682,0.8127106,0.00005316472,0.1691313],"study_design_scores_gemma":[0.001721425,0.0006992501,0.09907874,0.0006292532,0.00003089947,0.00002912626,0.01422364,0.1220217,0.0001987373,0.745242,0.01563025,0.000494983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.531987,0.3292632,0.02105222,0.09871184,0.00009816883,0.002890719,0.00003009212,0.0003479477,0.01561886],"genre_scores_gemma":[0.904346,0.04572076,0.04953928,0.00006250366,0.00002236549,0.0002032819,0.0000198971,0.000013128,0.00007280928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.372359,"threshold_uncertainty_score":0.996805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.507873489414358,"score_gpt":0.4638289232970491,"score_spread":0.04404456611730889,"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."}}