{"id":"W7162457017","doi":"10.66752/1077-5315.4261","title":"Evaluating Extension Efforts Along Lake Ontario's Eastern Shore","year":2007,"lang":"en","type":"article","venue":"Journal of Extension","topic":"Recreation, Leisure, Wilderness Management","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New York Sea Grant, State University of New York","keywords":"Shore; Visitor pattern; Wetland; Erosion; Coastal erosion; Erosion control","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002965051,0.0004775133,0.0002820012,0.0005058453,0.001447949,0.0009962622,0.0005873179,0.0004231505,0.001344828],"category_scores_gemma":[0.007518334,0.0001978908,0.0002354432,0.0006566197,0.0006414332,0.0006325663,0.0007713778,0.0004627652,0.0001506401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0130065,"about_ca_system_score_gemma":0.01554135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5353066,"about_ca_topic_score_gemma":0.8724293,"domain_scores_codex":[0.9983013,0.0005817846,0.00008062791,0.0001425681,0.0005472861,0.0003463059],"domain_scores_gemma":[0.9934681,0.001690583,0.0009250509,0.0001799221,0.002064147,0.001672242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005596763,0.01548176,0.6313903,0.0008639995,0.0005181368,0.0004365592,0.02410384,0.01046936,0.007283523,0.0008303924,0.006955987,0.2960694],"study_design_scores_gemma":[0.0004286972,0.008611339,0.960861,0.0002083302,0.0001926181,0.00002153327,0.01626423,0.003058714,0.001247037,0.0001446312,0.00891822,0.0000435396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958816,0.00007083569,0.00007936149,0.00008259249,0.000004854702,0.000305366,0.0001102334,0.000007360876,0.003457849],"genre_scores_gemma":[0.9959617,0.0002624277,0.00101852,0.00006305104,0.000005409692,0.0004313127,0.0003233381,0.000002525777,0.001931696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4646934,"threshold_uncertainty_score":0.9348602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07802584575169937,"score_gpt":0.3868940464953047,"score_spread":0.3088682007436054,"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."}}