{"id":"W2318674392","doi":"10.5623/cig2014-205","title":"Grand Lake Meadows Historical Mapping","year":2014,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"World Wide Web; Web mapping; Hypertext; JavaScript; Geography; The Internet; Wetland; Cartography; Mashup; Computer science; Ecology; Web development","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003290363,0.0002593701,0.0001461888,0.00427332,0.001993145,0.001401763,0.0005420002,0.0002000264,0.04890362],"category_scores_gemma":[0.0009040005,0.000261719,0.0001300535,0.007569833,0.0002159321,0.0007176559,0.001001597,0.0003443346,0.006137243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553433,"about_ca_system_score_gemma":0.003984968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3839879,"about_ca_topic_score_gemma":0.76642,"domain_scores_codex":[0.9997649,0.00002544392,0.00001261232,0.00005635235,0.0001038499,0.00003688445],"domain_scores_gemma":[0.9993582,0.00004221238,0.00005301561,0.00008889025,0.000372709,0.00008490943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001053579,0.00006156875,0.08612971,0.0001999812,0.00003528929,0.0003377018,0.004397536,0.0009169833,0.002478481,0.01051791,0.4643103,0.4305091],"study_design_scores_gemma":[0.000008645561,0.00001753574,0.1795692,0.00006958989,0.00001539948,0.0001144587,0.001636118,0.0006519409,0.0007266485,0.0005852081,0.8165873,0.00001799067],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2353212,0.001880474,0.01037798,0.003586419,0.0002837611,0.0003412912,0.1344629,0.002161171,0.6115848],"genre_scores_gemma":[0.2905087,0.002187903,0.04239517,0.000295652,0.0001326836,0.0005558221,0.08357098,0.0007520244,0.579601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3839879,"threshold_uncertainty_score":0.7635057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465085923797126,"score_gpt":0.2480206292279326,"score_spread":0.2233697699899613,"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."}}