{"id":"W3191807516","doi":"10.3390/min11080859","title":"ECORE: A New Fast Automated Quantitative Mineral and Elemental Core Scanner","year":2021,"lang":"en","type":"article","venue":"Minerals","topic":"Laser-induced spectroscopy and plasma","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Mitacs","keywords":"Hyperspectral imaging; Scanner; Elemental analysis; Chemical imaging; Laser-induced breakdown spectroscopy; Scanning electron microscope; Spectroscopy; Remote sensing; Mineralogy; Resolution (logic); Materials science; Optics; Geology; Chemistry; Computer science; Physics; Laser; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007039064,0.0004654797,0.0004375502,0.001636799,0.0001975912,0.0005956982,0.00115584,0.0007180247,0.004278763],"category_scores_gemma":[0.0007644282,0.0004828608,0.0002653133,0.0006405034,0.0003389408,0.001329848,0.001126984,0.0005366977,0.001021968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003634688,"about_ca_system_score_gemma":0.0005962339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008635893,"about_ca_topic_score_gemma":0.002646858,"domain_scores_codex":[0.9992656,0.00004440586,0.00002456397,0.000136156,0.0004944626,0.00003486068],"domain_scores_gemma":[0.9992879,0.0001401487,0.00007623292,0.0001181028,0.0003282957,0.0000492962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004084464,0.0001070612,0.00863754,0.0003041584,0.00007195702,0.0001842216,0.0001245336,0.001770841,0.7266436,0.002053833,0.009160279,0.2505336],"study_design_scores_gemma":[0.0001964126,0.0008373291,0.03443008,0.00008677589,0.0001030779,0.005083608,0.0002516202,0.1550687,0.6780205,0.001709814,0.1239309,0.0002812547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2109339,0.002535289,0.7397732,0.0004163246,0.0002587502,0.0005136223,0.004055312,0.02713619,0.01437742],"genre_scores_gemma":[0.298311,0.0005018381,0.6809924,0.000354692,0.0000763818,0.0003092109,0.003430602,0.0008687704,0.01515501],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004278763,"threshold_uncertainty_score":0.01431382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253587226811899,"score_gpt":0.2684449482232295,"score_spread":0.2459090759551105,"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."}}