{"id":"W2997328546","doi":"10.1007/978-3-030-25674-6_12","title":"Information Ecology to Map the Arctic Information Ecosystem","year":2020,"lang":"en","type":"book-chapter","venue":"Informed decisionmaking for sustainability","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Arctic; Ecology; Environmental resource management; Resilience (materials science); The arctic; Ecosystem; Computer science; Geography; Environmental science; Oceanography; Biology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008390388,0.0005450561,0.0002319536,0.002154958,0.001050918,0.006722853,0.0007936145,0.001115866,0.02889817],"category_scores_gemma":[0.001983333,0.0002629935,0.000304305,0.003312092,0.001199363,0.006120254,0.002015626,0.001761633,0.009772504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001734756,"about_ca_system_score_gemma":0.002100316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112973,"about_ca_topic_score_gemma":0.0201769,"domain_scores_codex":[0.9996367,0.0001362363,0.00001259909,0.00003889529,0.0001407961,0.0000346929],"domain_scores_gemma":[0.9993426,0.0003000548,0.00002183654,0.0001094156,0.0001674578,0.00005864162],"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":[0.000007911849,0.00002140992,0.0003141554,0.0001492687,0.0000136017,0.00006154452,0.0006792716,0.001812808,0.000485794,0.4588744,0.2110381,0.3265417],"study_design_scores_gemma":[9.315434e-7,0.000002921576,0.0002303207,0.0001822091,0.000003854311,0.00007295921,0.0003575112,0.001211211,0.0002398973,0.08946816,0.9082243,0.000005672878],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001864408,0.01172829,0.1311642,0.009543625,0.002368797,0.00007762043,0.0006710797,0.0008143213,0.8417676],"genre_scores_gemma":[0.04551006,0.02870283,0.1764443,0.004048647,0.00103706,0.0001303372,0.002406936,0.001190425,0.7405294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9932771,"threshold_uncertainty_score":0.09667403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07595091540846031,"score_gpt":0.3767222748896908,"score_spread":0.3007713594812305,"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."}}