{"id":"W2464350832","doi":"10.1515/jengeo-2015-0007","title":"Simulating Environmental Impacts Based On The Example Of Roşia Montană","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Geography","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Terrain; Process (computing); Computer science; Environmental impact assessment; Environmental planning; Environmental resource management; Order (exchange); Visualization; Environmental science; Geography; Business; Cartography; Political science; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.002074597,0.0001568065,0.0002659757,0.000275509,0.0003548295,0.00003747842,0.0003234596,0.00007280956,0.000203058],"category_scores_gemma":[0.00009564787,0.0001091857,0.0003267364,0.00023152,0.0005590137,0.0003255417,0.00005494579,0.0002055705,0.00001880131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001248092,"about_ca_system_score_gemma":0.00003652198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005126708,"about_ca_topic_score_gemma":0.00003095352,"domain_scores_codex":[0.997386,0.0002247188,0.0006680383,0.0001026556,0.001330566,0.0002880582],"domain_scores_gemma":[0.9983289,0.0003250987,0.0009123062,0.0002064527,0.00002139886,0.0002059017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001235767,0.0003639774,0.974384,0.000009146544,0.0001774387,0.000009620829,0.01746601,0.004160206,0.0006859959,0.0005276198,0.0006584048,0.001433971],"study_design_scores_gemma":[0.002234252,0.001147513,0.8662032,0.0001302761,0.0001129609,0.00001390571,0.08122069,0.0005064448,0.0004758237,0.0008156915,0.04674937,0.0003898723],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900676,0.0004045293,0.0000668112,0.0003713608,0.0002620543,0.00024946,0.00002687801,0.000008218523,0.008543096],"genre_scores_gemma":[0.999265,0.00009296198,0.0002301051,0.0002432686,0.0001231066,0.000003503659,0.0000022911,0.00001021204,0.00002959896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1081808,"threshold_uncertainty_score":0.4452462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923058203547961,"score_gpt":0.2490365053590703,"score_spread":0.2198059233235908,"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."}}