{"id":"W3154268330","doi":"10.1144/sp516-2020-186","title":"Multi-method 2D and 3D reconstruction of gold grain morphology in alluvial deposits: a review and application to the Rivière du Moulin (Québec, Canada)","year":2021,"lang":"en","type":"review","venue":"Geological Society London Special Publications","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Énergie et des Ressources Naturelles; McGill University; Université Laval","keywords":"Sphericity; Roundness (object); Fluvial; Photogrammetry; Flatness (cosmology); Alluvial fan; Geology; Segmentation; Materials science; Mathematics; Computer science; Mineralogy; Geometry; Artificial intelligence; Remote sensing; Geomorphology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003405893,0.001285912,0.001344765,0.01068626,0.0006150497,0.002803008,0.002661802,0.001302215,0.002470042],"category_scores_gemma":[0.004489037,0.0009128773,0.001241175,0.0096762,0.001632363,0.00109149,0.000904448,0.0006817449,0.0007088032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004375173,"about_ca_system_score_gemma":0.005684053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3165664,"about_ca_topic_score_gemma":0.3690135,"domain_scores_codex":[0.9988105,0.0001378337,0.0001026924,0.0002284329,0.0006563906,0.00006410811],"domain_scores_gemma":[0.9963843,0.001110774,0.0002793674,0.0001379193,0.002000862,0.00008685081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006148394,0.00003946916,0.00584607,0.008971304,0.0002956968,0.0002993473,0.000438315,0.005388329,0.003024456,0.002067876,0.006448103,0.9671196],"study_design_scores_gemma":[0.00002649273,0.000241956,0.0977022,0.01789462,0.001178883,0.006006801,0.00181104,0.03520454,0.00924742,0.00358038,0.8266158,0.000489985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004752346,0.9729883,0.01823715,0.0004144928,0.0002028206,0.00005390761,0.0003881094,0.0001088162,0.002853988],"genre_scores_gemma":[0.04342647,0.914162,0.03717371,0.0002122039,0.0002055848,0.00006813042,0.0007056493,0.0001506327,0.003895636],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6834337,"threshold_uncertainty_score":0.6294475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080042980484697,"score_gpt":0.2728234339150863,"score_spread":0.2520230041102393,"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."}}