{"id":"W3003546646","doi":"10.1007/978-3-030-36408-3_93","title":"Development of a Mathematical Model to Simulate Raft Formation","year":2020,"lang":"en","type":"book-chapter","venue":"The minerals, metals & materials series","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Rio Tinto (Canada); National Research Council Canada; Université du Québec à Chicoutimi","funders":"","keywords":"Schlieren; Thermal; Mechanics; Smoothed-particle hydrodynamics; Particle (ecology); Raft; Materials science; Discrete element method; Thermodynamics; Physics; Composite material; Geology","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":[0.0002391,0.0004809074,0.0008115773,0.0001780119,0.0001237117,0.0001385616,0.0002808924,0.0002002104,0.0007595897],"category_scores_gemma":[0.0000206154,0.0003847336,0.0001478286,0.00005736947,0.00004993309,0.0003877722,0.0001462525,0.0001510172,0.0004507787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009565281,"about_ca_system_score_gemma":0.00004890227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002514393,"about_ca_topic_score_gemma":0.00003149787,"domain_scores_codex":[0.9979158,0.00002090736,0.001274389,0.0002365363,0.0003076094,0.0002447375],"domain_scores_gemma":[0.9990518,0.00005862235,0.0002047248,0.0004418833,0.0001431668,0.00009976589],"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":[0.00005505374,0.00001616592,1.674549e-8,0.0006421625,0.0002953003,0.000002397734,0.001617557,0.4199553,0.4851648,0.09017461,0.001881795,0.0001948434],"study_design_scores_gemma":[0.0003356109,0.00007558041,0.000001671577,0.0005365693,0.0003432781,0.00002863958,0.00008677375,0.7638261,0.06106146,0.03264379,0.1399501,0.001110503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1236338,0.0007229364,0.4541628,0.001149795,0.003316618,0.005618528,0.002922925,0.001911129,0.4065615],"genre_scores_gemma":[0.6415638,0.0001512332,0.08403911,0.0002889964,0.0004299908,0.0002940943,0.0008653581,0.0004670282,0.2719004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.51793,"threshold_uncertainty_score":0.9998605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02828155619795632,"score_gpt":0.2386907522371388,"score_spread":0.2104091960391825,"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."}}