{"id":"W6894348442","doi":"10.5683/sp2/nfefz4","title":"Digital Forests Literature Scoping Review","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metadata; Grey literature; Citation; Digital library; Digital ecosystem; Keyword search; Citation analysis","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":[],"consensus_categories":[],"category_scores_codex":[0.01270148,0.001792926,0.003140772,0.08109979,0.002060337,0.005746924,0.002244108,0.00209804,0.1396599],"category_scores_gemma":[0.06480765,0.001475313,0.003828392,0.07572314,0.0007281378,0.004178369,0.005024007,0.001436169,0.03825187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00468138,"about_ca_system_score_gemma":0.02885197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01274066,"about_ca_topic_score_gemma":0.02799579,"domain_scores_codex":[0.9865999,0.002056286,0.00644841,0.001275602,0.002983155,0.0006366593],"domain_scores_gemma":[0.9524975,0.01982388,0.005951897,0.002264419,0.01831753,0.001144738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0003491218,0.0000625655,0.001885221,0.325652,0.0006443268,0.0003502233,0.0008594781,0.0002674064,0.0006337969,0.003197618,0.5181474,0.1479508],"study_design_scores_gemma":[0.0001735568,0.00005782892,0.005149477,0.1741428,0.001291216,0.0002049177,0.0007609867,0.00008491947,0.000467393,0.001704264,0.8159138,0.0000488568],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00271164,0.04927509,0.002102728,0.00234624,0.0008345883,0.007287351,0.9018869,0.0006034151,0.03295207],"genre_scores_gemma":[0.01133924,0.1340655,0.01671683,0.002589025,0.0004975963,0.03664019,0.7796534,0.0005488478,0.01794937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1396599,"threshold_uncertainty_score":0.467209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216014495203012,"score_gpt":0.315341795971819,"score_spread":0.2937403464515179,"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."}}