{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003270106,0.0005429831,0.0004654123,0.0006273703,0.0003686613,0.0004067721,0.00007768822,0.0006687588,0.00006316398],"category_scores_gemma":[0.0002359242,0.00061541,0.00008636406,0.000663333,0.00002519308,0.0003319236,0.00003339578,0.001824745,0.0000194606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003401272,"about_ca_system_score_gemma":0.00003835005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009635019,"about_ca_topic_score_gemma":0.0004992206,"domain_scores_codex":[0.9981056,0.0000612845,0.0005172976,0.0005826058,0.0002696088,0.0004635446],"domain_scores_gemma":[0.9993314,0.00013683,0.0002385817,0.0001288469,0.00006843288,0.00009589614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002186469,0.000008610171,0.002495175,0.004631003,0.00005632595,0.00002998669,0.03651078,0.7263864,0.1896558,0.000009868762,0.000004275164,0.04018996],"study_design_scores_gemma":[0.0002457332,0.00003068235,0.01667833,0.003730277,0.0001610636,0.00003539145,0.005524941,0.968223,0.004585996,0.0001285864,0.00004947125,0.0006064734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793943,0.00856607,0.009746424,0.00003485323,0.000740342,0.0002399089,7.830716e-7,0.0003071513,0.0009701934],"genre_scores_gemma":[0.9955211,0.000176795,0.00169681,0.000006663383,0.0003500105,0.00001349677,0.00009455465,0.0001584128,0.00198212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2418366,"threshold_uncertainty_score":0.9996297,"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."}}