{"id":"W1551826047","doi":"10.1111/cobi.12419","title":"Using internet search behavior to assess public awareness of protected wetlands","year":2014,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Wetland; Bay; The Internet; Business; Public participation; Geography; Environmental resource management; Environmental planning; Environmental science; Ecology; Political science; Public relations; Computer science; Biology; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001254019,0.00005632462,0.0001444474,0.00009718611,0.0001238582,0.00004705737,0.0001926574,0.000127022,0.00005137837],"category_scores_gemma":[0.003001108,0.00005508432,0.0000270325,0.0003563568,0.0002375887,0.0000873986,0.00005124979,0.00006654137,0.000007301172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477738,"about_ca_system_score_gemma":0.0002675188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003603023,"about_ca_topic_score_gemma":0.002016597,"domain_scores_codex":[0.9987334,0.0006149795,0.0001777534,0.0001473989,0.0001186319,0.0002078502],"domain_scores_gemma":[0.9990252,0.0003403036,0.00007307346,0.00009235818,0.0003784487,0.00009066589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001393776,0.00004103604,0.9452763,0.000009601408,0.000006295304,2.263346e-7,0.001575385,5.376068e-7,0.004812328,0.0342512,0.0001358602,0.01387731],"study_design_scores_gemma":[0.0008104603,0.0004256576,0.8136575,0.0001235367,0.000031705,0.000001569127,0.003870144,0.001271986,0.003113171,0.003007849,0.1731514,0.0005350704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869778,0.000003241525,0.004609999,0.001615705,0.0003376801,0.0002590841,0.00000575829,0.00005083216,0.006139969],"genre_scores_gemma":[0.9985442,0.000001558824,0.000779959,0.0002313161,0.0001157773,0.00003644093,0.00001937618,0.000005451954,0.0002659417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1730155,"threshold_uncertainty_score":0.5446718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.254156436678707,"score_gpt":0.4190928130186986,"score_spread":0.1649363763399916,"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."}}