{"id":"W2408552311","doi":"10.1130/2016.2520(37)","title":"A multiagency and multijurisdictional approach to mapping the glacial deposits of the Great Lakes region in three dimensions","year":2016,"lang":"en","type":"book-chapter","venue":"Geological Society of America Special Papers","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Geologic map; Geological survey; Geology; Stakeholder; Earth science; Scale (ratio); Agency (philosophy); Geologist; Environmental resource management; Cartography; Geography; Geomorphology; Political science; Paleontology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001621105,0.0002494231,0.0005001933,0.00003650716,0.0002933068,0.000009892142,0.0003475802,0.0002928559,0.0005383691],"category_scores_gemma":[0.00007016995,0.0001133268,0.000485417,0.0001507026,0.001038227,0.00002635433,0.00010566,0.0003492283,0.00001395581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000896418,"about_ca_system_score_gemma":0.00002852574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005875875,"about_ca_topic_score_gemma":0.001141301,"domain_scores_codex":[0.9984146,0.00006505315,0.0004110454,0.0004433656,0.000390448,0.0002755216],"domain_scores_gemma":[0.9990946,0.0002754182,0.0002584166,0.0002212191,0.00005545196,0.00009489634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003336828,0.000190476,0.482305,0.0001095866,0.0007173847,0.00001232144,0.003541124,0.03992061,0.0001967919,0.005701258,0.003221797,0.4637499],"study_design_scores_gemma":[0.0005737425,0.0003294025,0.9312279,0.000221755,0.0001784113,0.00001649014,0.0005491967,0.009529187,0.000002546449,0.01466872,0.04210257,0.0006001106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1633764,0.002621673,0.003725765,0.01425722,0.0006575506,0.001709997,0.000229433,0.00008067553,0.8133413],"genre_scores_gemma":[0.9843,0.001229632,0.003450444,0.001017192,0.0007848475,0.000004568093,0.00002482631,0.000006751471,0.009181718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8209236,"threshold_uncertainty_score":0.5894764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049187093000294,"score_gpt":0.1953662694744785,"score_spread":0.1648743985444755,"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."}}