{"id":"W2587632001","doi":"10.29173/cais602","title":"Using Environmental Information to Engage Public Participation in Decision Making in Coastal Policy Development","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Nova scotia; Stakeholder; Political science; Public policy; Public participation; Geography; Humanities; Sociology; Public relations; Ethnology; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02329811,0.0004333191,0.0003456033,0.003338366,0.005872277,0.008305317,0.001032657,0.001656768,0.004680892],"category_scores_gemma":[0.0454171,0.0003972917,0.0003294585,0.003787085,0.004604034,0.004290342,0.007371172,0.001808311,0.0004786144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007984255,"about_ca_system_score_gemma":0.01317482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07902964,"about_ca_topic_score_gemma":0.1201016,"domain_scores_codex":[0.9711708,0.02102604,0.0007445929,0.0006292306,0.003656294,0.002773038],"domain_scores_gemma":[0.9051755,0.07988943,0.005987721,0.003110557,0.003803382,0.002033405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003167589,0.0005801045,0.1016047,0.0009585747,0.00008529826,0.002098217,0.6533463,0.001409932,0.002904068,0.01996259,0.008820371,0.207913],"study_design_scores_gemma":[0.0001146814,0.0004010229,0.110077,0.001684956,0.0001015034,0.0004355421,0.5850147,0.001816411,0.003116083,0.01567093,0.2814185,0.0001487546],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8352391,0.001025935,0.004972003,0.01771386,0.0001552456,0.0003600534,0.0002684221,0.00007261901,0.1401928],"genre_scores_gemma":[0.9929661,0.000465588,0.002089504,0.0004699544,0.00003398463,0.0001044294,0.0000839393,0.00001299354,0.003773617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07902964,"threshold_uncertainty_score":0.1571393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890322320688796,"score_gpt":0.2661822863178707,"score_spread":0.2372790631109827,"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."}}