{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002196812,0.0002297887,0.0002343811,0.002981863,0.005438099,0.004912633,0.001378812,0.0005164497,0.01349266],"category_scores_gemma":[0.006752047,0.0003072002,0.0002504522,0.008336988,0.001384589,0.001757176,0.003281432,0.0007479225,0.001180187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0795173,"about_ca_system_score_gemma":0.2638978,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946883,"about_ca_topic_score_gemma":0.9942963,"domain_scores_codex":[0.998051,0.0002904911,0.0001150071,0.0001409116,0.0008987925,0.0005037414],"domain_scores_gemma":[0.9940444,0.0005154707,0.0002859372,0.0003252216,0.003811497,0.001017527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001019131,0.0001665469,0.03931924,0.0006802373,0.00005225914,0.0006348986,0.00789376,0.01133411,0.001971921,0.2948139,0.2140122,0.429019],"study_design_scores_gemma":[0.00004159758,0.00004647517,0.09779432,0.0005889952,0.00003666153,0.000150091,0.009289527,0.01384707,0.0007249052,0.01254598,0.8648378,0.00009663284],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1997371,0.007583895,0.03591945,0.04967199,0.0003517527,0.001753949,0.02666741,0.002918777,0.6753957],"genre_scores_gemma":[0.7638071,0.007667488,0.1038511,0.001810237,0.00005775076,0.0007249528,0.01503216,0.0002689093,0.1067804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0795173,"threshold_uncertainty_score":0.5769411,"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."}}