{"id":"W4249571361","doi":"10.22215/timreview1014","title":"Perspectives on Knowledge Mobilization: An Introduction to the Special Issue","year":2016,"lang":"en","type":"article","venue":"Technology Innovation Management Review","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mobilization; Political science; Computer science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005184536,0.001445336,0.001709042,0.008411179,0.004443142,0.01091751,0.001951408,0.008773439,0.01661182],"category_scores_gemma":[0.01084372,0.0006551376,0.001374729,0.009054027,0.006921125,0.01693143,0.005986759,0.01236298,0.003739781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005530571,"about_ca_system_score_gemma":0.003583419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002677062,"about_ca_topic_score_gemma":0.002923518,"domain_scores_codex":[0.9967827,0.001439967,0.0002982909,0.0004122132,0.0007219071,0.0003449764],"domain_scores_gemma":[0.9864432,0.01047428,0.0005903522,0.0002938471,0.001471421,0.0007269594],"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":[0.00005387401,0.0001125078,0.0005262399,0.002687841,0.00003416543,0.0004220357,0.003200642,0.0004424763,0.000363818,0.2530276,0.6328738,0.106255],"study_design_scores_gemma":[0.000004571939,0.00002793879,0.0005055263,0.002396364,0.000007418661,0.0002850227,0.0009929729,0.0001354961,0.0000422998,0.04119388,0.9543834,0.00002522644],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"editorial","genre_scores_codex":[0.0008652381,0.6417674,0.004386343,0.1723451,0.1444206,0.00006430122,0.0002041472,0.00004480886,0.03590196],"genre_scores_gemma":[0.01515856,0.6078283,0.002786597,0.06059817,0.2924103,0.0002732412,0.0003344177,0.0001087355,0.0205017],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01661182,"threshold_uncertainty_score":0.05557203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288203167528398,"score_gpt":0.3491510082162724,"score_spread":0.3203306914634326,"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."}}