{"id":"W2610846195","doi":"10.3390/su9050760","title":"Special Issue Editorial: Earth Observation and Geoinformation Technologies for Sustainable Development","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sustainability; Geographic information system; Sustainable development; Earth observation; Earth system science; Environmental planning; Engineering; Remote sensing; Environmental science; Geography; Political science; Geology; Aerospace engineering; Oceanography","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":[0.005772631,0.003887963,0.003928829,0.005157966,0.004318326,0.01159118,0.003555262,0.01033519,0.04596854],"category_scores_gemma":[0.02255697,0.00104081,0.003174715,0.002301815,0.002003918,0.005139723,0.002009973,0.0135437,0.02648578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002326341,"about_ca_system_score_gemma":0.004231883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133028,"about_ca_topic_score_gemma":0.003248722,"domain_scores_codex":[0.9935869,0.0007468816,0.0006121973,0.0008381059,0.003720088,0.0004957131],"domain_scores_gemma":[0.9702922,0.00747004,0.001989605,0.0007065706,0.01487295,0.004668604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002506976,0.00001310367,0.00002917393,0.000120088,0.00001079868,0.00005180827,0.00000865879,0.00001723672,0.00007041692,0.0001650859,0.9962052,0.003283391],"study_design_scores_gemma":[0.00004796368,0.00004668143,0.0003390315,0.0003261157,0.00003428552,0.0001823707,0.00005394667,0.0001312291,0.0001611538,0.0007603543,0.9978938,0.00002323916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002972452,0.001370702,0.00007918719,0.01154133,0.9854387,0.00001280453,0.00005668317,0.00004267305,0.001428085],"genre_scores_gemma":[0.0002876793,0.001853818,0.0000776168,0.005904967,0.9841956,0.00001529322,0.00005859254,0.00005743302,0.007549072],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04596854,"threshold_uncertainty_score":0.15378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008056517996984503,"score_gpt":0.2338596600079668,"score_spread":0.2258031420109823,"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."}}