{"id":"W7132868893","doi":"","title":"Automating Fracture Detection and RQD Calculation in Core Images Using Deep Learning","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Drill; Core (optical fiber); Fracture (geology); Ground truth; Deep learning; Precision and recall","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006526719,0.0009874071,0.0007863006,0.001598581,0.0001888255,0.0008263218,0.001228742,0.0005961526,0.001292902],"category_scores_gemma":[0.001450192,0.0004308805,0.0007801898,0.000763121,0.0002681055,0.0009372396,0.0009310613,0.0006877669,0.0008306769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005658983,"about_ca_system_score_gemma":0.0009555867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006946601,"about_ca_topic_score_gemma":0.01463,"domain_scores_codex":[0.9996648,0.00002172301,0.00002411164,0.0001162182,0.0001145244,0.00005868694],"domain_scores_gemma":[0.999478,0.000116708,0.00007979407,0.00007643337,0.0002202101,0.00002878493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003136259,0.0002620662,0.02726519,0.0003589462,0.000156858,0.0002520853,0.0001570585,0.2103301,0.06686249,0.001436519,0.006792413,0.6858127],"study_design_scores_gemma":[0.00001133044,0.0000549238,0.004874834,0.0000234724,0.00002617759,0.0001047255,0.00003890211,0.9734675,0.01871278,0.001132381,0.001532481,0.00002055506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1990778,0.000570184,0.7854689,0.0001685486,0.00009643479,0.0001270845,0.001546294,0.01055336,0.002391347],"genre_scores_gemma":[0.6008027,0.0003012564,0.3930473,0.0001982175,0.00002592318,0.0001164836,0.002844833,0.0003465792,0.002316694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006946601,"threshold_uncertainty_score":0.0138123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535556171303674,"score_gpt":0.32161770164516,"score_spread":0.3062621399321233,"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."}}