{"id":"W2985749719","doi":"10.1016/j.scijus.2019.09.005","title":"Bridging the gap between academia and practice: Perspectives from two large-scale and niche research projects in Canada","year":2019,"lang":"en","type":"article","venue":"Science & Justice","topic":"Forensic Entomology and Diptera Studies","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology; Royal Canadian Mounted Police; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridging (networking); Public relations; Scale (ratio); Enforcement; Law enforcement; Order (exchange); Work (physics); Niche; Political science; Engineering ethics; Sociology; Business; Engineering; Geography; Computer science; Ecology; Computer security; Law; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335461,0.00007917765,0.000116153,0.00001873236,0.0006740465,0.00007882959,0.0002701023,0.00004787139,0.00002175434],"category_scores_gemma":[0.001376859,0.00002846907,0.000008193809,0.0006470529,0.0007280394,0.000310339,0.0003417053,0.0005217857,0.000006455686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009958562,"about_ca_system_score_gemma":0.0001706884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5195725,"about_ca_topic_score_gemma":0.6817554,"domain_scores_codex":[0.9984167,0.0002024822,0.0001042649,0.0004218126,0.0004153093,0.0004394543],"domain_scores_gemma":[0.9974146,0.002281828,0.00004299355,0.00006150543,0.0001252608,0.00007383349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004406738,0.00001693592,0.9587635,0.00001138363,0.000008667523,0.00001083701,0.0124133,0.000004875452,0.01050349,0.001382178,0.0006504254,0.01619034],"study_design_scores_gemma":[0.000133284,0.00005525576,0.8678237,0.00002480578,0.00001788295,0.000007336615,0.1296258,0.0002485221,0.000310468,0.0004062601,0.001257537,0.00008920252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850847,0.001408519,5.146397e-7,0.0107149,0.0001017359,0.0001964021,0.00001767012,0.000007367959,0.002468172],"genre_scores_gemma":[0.999101,0.0001559252,0.00007242054,0.0004091972,0.000163414,0.000005048485,0.000001499602,4.307041e-7,0.00009107422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621829,"threshold_uncertainty_score":0.5184289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06280982621929895,"score_gpt":0.351213688337392,"score_spread":0.288403862118093,"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."}}