{"id":"W2163609602","doi":"10.1023/a:1025541712148","title":"Sharing the geo-Referenced Results of Climate Change Impact Research","year":2003,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; University of Regina","funders":"","keywords":"Adaptation (eye); Climate change; Dissemination; Computer science; The Internet; Environmental resource management; World Wide Web; Environmental science; Ecology; Telecommunications","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01830683,0.001056222,0.001370799,0.01047622,0.001498405,0.005200189,0.00289059,0.0015684,0.02531601],"category_scores_gemma":[0.0384322,0.0005243831,0.001354829,0.009342923,0.0007240264,0.004960235,0.007846143,0.001526621,0.01630161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007848073,"about_ca_system_score_gemma":0.004093311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004674495,"about_ca_topic_score_gemma":0.005762678,"domain_scores_codex":[0.9926822,0.002121295,0.0007994187,0.0008340988,0.003159495,0.0004036136],"domain_scores_gemma":[0.9315161,0.005576541,0.00170636,0.03750483,0.02134266,0.002353521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004693681,0.0004500685,0.02280368,0.0009354995,0.001036388,0.0004562127,0.001824626,0.008023568,0.01147941,0.01294087,0.2215333,0.718047],"study_design_scores_gemma":[0.0001536821,0.0003271583,0.05373836,0.0006673253,0.001379933,0.0008070722,0.003150156,0.007537731,0.02611145,0.05846457,0.8473281,0.0003344886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1246144,0.007140389,0.3969144,0.02697205,0.00793937,0.001311555,0.1263034,0.02420774,0.2845967],"genre_scores_gemma":[0.4603712,0.005722891,0.3112897,0.003873121,0.002616539,0.0008140514,0.1457838,0.005630811,0.06389795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9971094,"threshold_uncertainty_score":0.09681696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490443231461551,"score_gpt":0.3708601532064543,"score_spread":0.2218158300602992,"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."}}