{"id":"W4392349102","doi":"10.18280/ts.410125","title":"Predicting and Analyzing Rock Mechanical Properties Using Image Processing Techniques","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer science; Geology; Image processing; Artificial intelligence; Pattern recognition (psychology); Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002847894,0.000203764,0.000174198,0.0001637537,0.0001840595,0.0004424518,0.00008341889,0.00006904636,0.00003638366],"category_scores_gemma":[0.00001416753,0.0001738596,0.00004261481,0.0002148197,0.00002332577,0.000519827,0.00004109849,0.0002381696,0.000003151434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007360806,"about_ca_system_score_gemma":0.00002601234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001189631,"about_ca_topic_score_gemma":0.000002076113,"domain_scores_codex":[0.9989511,0.00001720982,0.0002911746,0.0002585455,0.0001819321,0.0003000302],"domain_scores_gemma":[0.9997873,0.00002503926,0.0000226471,0.00005983833,0.0000300724,0.00007511705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000880992,0.00001498546,0.0002241299,0.001819931,0.00006138969,0.00003075165,0.001205234,0.006436457,0.9395783,0.00008527256,0.00008218599,0.05045255],"study_design_scores_gemma":[0.00007545557,0.0000297736,0.00002213952,0.001170791,0.00005511308,0.00004564894,0.0001864783,0.8858966,0.1119401,0.00009517241,0.0002617915,0.0002209556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8863819,0.003220421,0.1080816,0.00005072897,0.0000930813,0.0001630348,0.000003997582,0.001480594,0.0005246553],"genre_scores_gemma":[0.9933681,0.00003251391,0.00612064,0.00001594402,0.0003529146,0.00001906199,0.000002871452,0.0000530922,0.00003480965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8794601,"threshold_uncertainty_score":0.708979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02246427189194043,"score_gpt":0.2424235191990853,"score_spread":0.2199592473071449,"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."}}