{"id":"W4398785584","doi":"10.58440/ihr-30-1-a07","title":"From volunteer ping to community map - The CHS’ Community Hydrography Program","year":2024,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ping (video games); Volunteer; Hydrography; Geography; Computer science; Cartography; Computer security; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002812501,0.0002401714,0.0002382437,0.00007590331,0.001095501,0.0001531085,0.002267816,0.00004414325,0.0009946115],"category_scores_gemma":[0.0000698597,0.000130412,0.0003012162,0.0007742008,0.000680696,0.0002373228,0.001486821,0.001070898,0.001305716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000056209,"about_ca_system_score_gemma":0.000004038036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005235504,"about_ca_topic_score_gemma":0.001073543,"domain_scores_codex":[0.9976766,0.0009242725,0.0003669244,0.0002411283,0.0004887596,0.0003023183],"domain_scores_gemma":[0.9984419,0.0005148859,0.00007411755,0.0008876059,0.00001577736,0.00006570345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006885448,0.001406786,0.03382054,0.00115973,0.003748435,0.00005082507,0.01510161,0.0006180587,0.0002575848,0.004404489,0.5938059,0.3455572],"study_design_scores_gemma":[0.00007546106,0.0000909947,0.008050901,0.00115097,0.0001914358,0.000006919197,0.00021481,0.0007155077,0.00001383145,0.01274229,0.9765514,0.000195484],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6825365,0.05027017,0.0003647099,0.2128015,0.002403926,0.003982284,0.00006595659,0.0008827204,0.04669217],"genre_scores_gemma":[0.9753597,0.009415265,0.0001656997,0.01367949,0.0001393399,0.0006226216,0.0000682535,0.00002254096,0.0005271088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3827455,"threshold_uncertainty_score":0.9999186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697640091188178,"score_gpt":0.3022751258307323,"score_spread":0.2752987249188505,"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."}}