{"id":"W2984245528","doi":"10.1080/22020586.2019.12072954","title":"Old Data, Changed Times, New Resource? A Case Study, Barrytown, New Zealand, Ilmenite Garnet Gold Zircon","year":2019,"lang":"en","type":"article","venue":"ASEG Extended Abstracts","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Ilmenite; Zircon; Mineral resource classification; Geology; Database; Resource (disambiguation); Mineral; Geochemistry; Mining engineering; Computer science; Metallurgy; Materials science","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008200104,0.0004112712,0.0004235882,0.0001220036,0.00012155,0.0003188255,0.002056576,0.0001968347,0.0005366852],"category_scores_gemma":[0.0001832954,0.0003834958,0.00008238323,0.0004161269,0.00003167987,0.0007307391,0.001109832,0.0005304444,0.0009349918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003986377,"about_ca_system_score_gemma":0.000282742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004847263,"about_ca_topic_score_gemma":0.0005004384,"domain_scores_codex":[0.9967236,0.0001063068,0.0005479716,0.00132249,0.0005061668,0.0007934854],"domain_scores_gemma":[0.9957203,0.0002124931,0.0003179847,0.003044859,0.00007749312,0.0006268389],"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":[0.0001211222,0.001123469,0.001137667,0.0001111493,0.00030437,0.023324,0.006915659,0.001268605,0.00320302,0.001269046,0.7346853,0.2265366],"study_design_scores_gemma":[0.005049146,0.0006567604,0.02837692,0.0001440963,0.00009998654,0.006972747,0.001489297,0.004433688,0.003972945,0.003349975,0.9440069,0.001447534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8651643,0.0008693803,0.001936226,0.02373087,0.001755736,0.003566548,0.0001110827,0.001640353,0.1012255],"genre_scores_gemma":[0.8596468,0.000006953795,0.00349782,0.000796327,0.000423608,0.000008998821,0.0001296511,0.00001405792,0.1354758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2250891,"threshold_uncertainty_score":0.9998617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282322743345475,"score_gpt":0.2553216677728983,"score_spread":0.2270893934383508,"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."}}