{"id":"W2741078798","doi":"10.14714/cp87.1407","title":"A thank-you, long overdue","year":2017,"lang":"en","type":"article","venue":"Cartographic Perspectives","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Forcing (mathematics); Sociology; Environmental ethics; Philosophy; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008362291,0.0001678837,0.0002434151,0.0003035247,0.004892269,0.0005042267,0.0006474107,0.00009328266,0.0001323806],"category_scores_gemma":[0.0006035882,0.0001613445,0.0002583069,0.0003046549,0.001940042,0.0009589908,0.00013078,0.0001682094,0.00007645114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006118972,"about_ca_system_score_gemma":0.00009624473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005440297,"about_ca_topic_score_gemma":0.007351608,"domain_scores_codex":[0.9983747,0.00009370945,0.0002151796,0.0002963586,0.0005444107,0.0004756464],"domain_scores_gemma":[0.9983885,0.00006606668,0.0002791425,0.0006697004,0.0004527772,0.0001437908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001052243,0.00003633888,0.481676,0.00001298014,0.0001338059,0.000009626566,0.1852736,6.717752e-7,0.00001404281,0.3306468,0.0009958398,0.001189722],"study_design_scores_gemma":[0.0003083448,0.00002151856,0.7406407,0.00003843732,0.00002324741,0.000003317273,0.2212759,0.000002217871,0.00001093889,0.00397805,0.03344948,0.0002479199],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4229482,0.001843459,0.0001489872,0.002984072,0.0009077233,0.0004134151,0.00001061722,0.0002467914,0.5704967],"genre_scores_gemma":[0.9957253,0.000822158,0.00006442908,0.00005435526,0.0004738291,0.00005604737,0.000001165492,0.00001105551,0.002791644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5727771,"threshold_uncertainty_score":0.9964032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703372481929009,"score_gpt":0.337624309194851,"score_spread":0.310590584375561,"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."}}