{"id":"W6908389425","doi":"10.26186/148643","title":"Geoscience Australia AusPIX user interface API v0.9","year":2020,"lang":"en","type":"dataset","venue":"Geoscience Australia","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Raster graphics; Interface (matter); User interface; Polygon (computer graphics); Geographic information system; Raster data; Digital Earth; Spatial analysis; Grid","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002275789,0.002355779,0.001857715,0.001150393,0.0009625311,0.001861337,0.01075788,0.001374114,0.00994772],"category_scores_gemma":[0.001692061,0.002299933,0.0006474176,0.006065137,0.004238211,0.002479449,0.002518185,0.003610152,0.2907662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000985067,"about_ca_system_score_gemma":0.0009275944,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798782,"about_ca_topic_score_gemma":0.00191254,"domain_scores_codex":[0.9835543,0.0004839379,0.002018271,0.005044315,0.00450473,0.004394435],"domain_scores_gemma":[0.9913607,0.0001810019,0.001632798,0.004099366,0.0005075735,0.002218539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000609309,0.0001831185,0.0002506732,0.0002135797,0.00004968843,0.0003824986,0.0001183772,0.00008841579,0.004106827,0.0000796059,0.9944164,0.00004988831],"study_design_scores_gemma":[0.0006063535,0.0004915814,0.004613226,0.0003749596,0.0002844807,0.0001897839,0.0001304781,0.00005564789,0.001515113,0.0001135986,0.9889947,0.002630143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00834091,0.00003130293,0.0002734368,0.0007201194,0.006331702,0.0015109,0.9821777,0.0005734575,0.00004044948],"genre_scores_gemma":[0.004547632,0.00005362974,0.002520347,0.0007005335,0.001097129,0.0002109496,0.9284139,0.0002146559,0.06224122],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2808185,"threshold_uncertainty_score":0.9999223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076808503815302,"score_gpt":0.375680447115173,"score_spread":0.2679995967336428,"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."}}