{"id":"W6927345780","doi":"10.26069/greynet-2019-000.141-gg","title":"Tracking the Influence of Grey Literature in Public Policy Contexts: The Necessity and Benefit of Interdisciplinary Research","year":2020,"lang":"en","type":"article","venue":"GreyNet International","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Grey literature; Perspective (graphical); Public policy; Interface (matter); Discipline; Science policy; Diversity (politics); Tracking (education)","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.3225594,0.001037264,0.003104938,0.04477412,0.01025907,0.04833759,0.004551041,0.0106586,0.004813984],"category_scores_gemma":[0.5447248,0.001680664,0.001303231,0.03596986,0.03614614,0.05955804,0.02837008,0.008256033,0.0006564463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02712034,"about_ca_system_score_gemma":0.04513193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01164471,"about_ca_topic_score_gemma":0.01015435,"domain_scores_codex":[0.6507483,0.2492551,0.01501704,0.01850857,0.05806414,0.008406951],"domain_scores_gemma":[0.1580576,0.7324119,0.03808369,0.02728635,0.03875931,0.005401256],"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":[0.0003065106,0.0002398071,0.06111714,0.00455281,0.0008012505,0.0009535679,0.1163444,0.004577943,0.001159233,0.6235105,0.01028097,0.1761559],"study_design_scores_gemma":[0.0000806906,0.0001686513,0.03499856,0.008494749,0.0003422899,0.0002377795,0.08050498,0.006989519,0.001779838,0.7549189,0.1112482,0.000235782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2330461,0.06460112,0.09166452,0.4395356,0.002057127,0.001244077,0.001171755,0.0003497021,0.1663302],"genre_scores_gemma":[0.9637286,0.01002206,0.01616137,0.007157383,0.0008321628,0.0006067448,0.0002000061,0.00008328928,0.001208381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9516624,"threshold_uncertainty_score":0.8354049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728487711083791,"score_gpt":0.3391288655411222,"score_spread":0.3018439884302843,"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."}}