{"id":"W4379961406","doi":"10.5281/zenodo.8019269","title":"Integrated 3D modelling and associated machine learning targeting: the Jaguar Greenstone Belt example.","year":2023,"lang":"en","type":"paratext","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mira Geoscience (Canada)","funders":"","keywords":"Jaguar; Greenstone belt; Computer science; Operating system; 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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001669691,0.0002901889,0.0003620643,0.0002609015,0.004086483,0.000877837,0.0008933435,0.0002230991,0.04196056],"category_scores_gemma":[0.0008284151,0.0002099314,0.00009487805,0.0009638417,0.0002148983,0.0001086458,0.0003620617,0.001225997,0.0366983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002372281,"about_ca_system_score_gemma":0.000006267653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008167744,"about_ca_topic_score_gemma":0.00009630514,"domain_scores_codex":[0.9969315,0.0009795182,0.0003901339,0.0006586107,0.0004879913,0.0005522292],"domain_scores_gemma":[0.9986977,0.0001494115,0.0002432403,0.00028079,0.0004420532,0.0001867775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004714978,0.00003526881,0.0000642476,0.0000622764,0.0002376321,0.00002016012,0.000840269,0.5448402,0.00002423441,0.00001745108,0.36681,0.08700104],"study_design_scores_gemma":[0.0001254919,0.0001128166,0.0001551621,0.00004135832,0.00004208911,0.00001002591,0.0001862379,0.4348376,0.00000139999,0.00004043699,0.5642572,0.0001902124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1772387,0.02362228,0.1011763,0.009002754,0.0030926,0.003369596,0.01273673,0.008160482,0.6616006],"genre_scores_gemma":[0.772847,0.006683444,0.000580873,0.0002479244,0.0005040989,4.793998e-8,0.1255231,0.001060872,0.09255263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5956083,"threshold_uncertainty_score":0.9984369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06184310765516562,"score_gpt":0.2278990575994205,"score_spread":0.1660559499442549,"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."}}