{"id":"W2007257899","doi":"10.1080/08920750600970537","title":"Spatial Information Infrastructure for Integrated Coastal and Ocean Management in Canada","year":2006,"lang":"en","type":"article","venue":"Coastal Management","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Victoria","funders":"","keywords":"Sustainability; Spatial data infrastructure; Spatial analysis; Information infrastructure; Geographic information system; Environmental resource management; Business; Information system; Marine spatial planning; Knowledge management; Computer science; Geography; Remote sensing; Political science; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003362303,0.0001392686,0.0001507115,0.0002410688,0.0003124658,0.0001197171,0.000140943,0.00003539631,0.00001781453],"category_scores_gemma":[0.00001099834,0.0001375789,0.00002752333,0.0003430411,0.00008280528,0.0004323657,0.0001699953,0.00006318939,0.000003307348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483698,"about_ca_system_score_gemma":0.00009826156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9191981,"about_ca_topic_score_gemma":0.9906386,"domain_scores_codex":[0.9986776,0.00003062164,0.0004153057,0.000129142,0.0004076571,0.0003396653],"domain_scores_gemma":[0.999577,0.00002523192,0.0001420873,0.0001031691,0.0001035596,0.00004888958],"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":[0.0001796572,0.00005931722,0.216459,0.001107541,0.0002998822,0.00003391205,0.01182686,0.002600454,0.000001142692,0.3207101,0.09949768,0.3472245],"study_design_scores_gemma":[0.00148234,0.0000256039,0.3125709,0.00006023683,0.00002957405,8.637909e-7,0.0963691,0.0009473458,0.000003486616,0.003278838,0.5849467,0.000284996],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3929881,0.00008642703,0.04384961,0.002563959,0.00236872,0.007681147,0.0005349861,0.0002428343,0.5496842],"genre_scores_gemma":[0.9980851,0.00004334158,0.0006592421,0.0001725761,0.00004495274,0.00007245083,0.0001422142,0.000005263973,0.0007748705],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.605097,"threshold_uncertainty_score":0.5610303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004173014462217719,"score_gpt":0.2054201267398735,"score_spread":0.2012471122776558,"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."}}