{"id":"W1572040027","doi":"","title":"International Research Workshop on Integrating GIS and Environmental Modeling: Problems, Prospects, and Research Needs","year":2001,"lang":"en","type":"article","venue":"NASA Technical Reports Server (NASA)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geographic information system; Environmental planning; Environmental resource management; Geography; Library science; Regional science; Computer science; Environmental science; Remote sensing","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.009676181,0.0001843714,0.000262861,0.0007087715,0.001564859,0.0004125518,0.0003172513,0.0003045778,0.00008703542],"category_scores_gemma":[0.002210265,0.0001630344,0.00006509035,0.00113244,0.00101688,0.0005379143,0.0006175135,0.001148441,0.00001244326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932268,"about_ca_system_score_gemma":0.0001075982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562728,"about_ca_topic_score_gemma":0.001072648,"domain_scores_codex":[0.9949101,0.0002967449,0.0007633709,0.0005093396,0.002789851,0.0007306238],"domain_scores_gemma":[0.9982721,0.0004829917,0.000177985,0.0004065694,0.0004145426,0.0002458391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002510796,0.0009265574,0.7681382,0.0001968738,0.0002644349,0.0006360714,0.06601097,0.0003811159,0.001750721,0.1157182,0.01099434,0.03473142],"study_design_scores_gemma":[0.001638565,0.0008465445,0.06900974,0.001971971,0.00003931635,0.0008638126,0.2275612,0.006694922,0.00009347169,0.05451867,0.635174,0.001587817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884937,0.0005275521,0.00009844173,0.004341119,0.0002768303,0.001320263,0.000004009206,0.0001883779,0.1047497],"genre_scores_gemma":[0.9950725,0.001796669,0.0003116348,0.00005834614,0.000264816,0.0002062662,0.00001406555,0.00001673066,0.002258961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6991284,"threshold_uncertainty_score":0.999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1230062939641363,"score_gpt":0.3969656903742484,"score_spread":0.2739593964101121,"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."}}