{"id":"W4312172540","doi":"10.3390/geosciences13010005","title":"3-D Reconstruction of Rock Samples via Structure-From-Motion for Virtual Reality Applications: A Methodological Proposal","year":2022,"lang":"en","type":"article","venue":"Geosciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Petrobras; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Troubleshooting; Workflow; Computer science; Process (computing); Virtual reality; Motion (physics); Data mining; Information retrieval; Human–computer interaction; Artificial intelligence; Database","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001080632,0.00008495822,0.0001599604,0.00004081001,0.0006391051,0.00003033763,0.0002791401,0.00003786374,0.001276162],"category_scores_gemma":[0.0001269266,0.00006142913,0.00005730626,0.0003297479,0.0001408469,0.000171069,0.00002136022,0.00009527316,0.000003515583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006904215,"about_ca_system_score_gemma":0.00005711846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00307272,"about_ca_topic_score_gemma":0.001496044,"domain_scores_codex":[0.9985754,0.0003751155,0.0002380856,0.0003333969,0.000293699,0.0001842868],"domain_scores_gemma":[0.9992388,0.0003758475,0.0001604903,0.0001226945,0.00004987197,0.00005230934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001117413,0.00003056549,0.1485957,0.00001791004,0.00001161089,3.400761e-7,0.0004128614,0.01183304,0.00333101,0.0006941653,0.0001336799,0.8348274],"study_design_scores_gemma":[0.000398507,0.001156814,0.8317684,0.000008631127,0.00003466252,0.00006606735,0.005548364,0.05049362,0.002074833,0.1009367,0.007096008,0.0004173835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8608387,0.0002801604,0.1349794,0.0002325815,0.0006808221,0.0005412347,0.002208201,0.00006315947,0.000175736],"genre_scores_gemma":[0.9805724,0.000008920754,0.01884663,0.000038932,0.00008268454,0.00002087314,0.0003760202,0.00000118796,0.00005233168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.83441,"threshold_uncertainty_score":0.9996368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0948729937844067,"score_gpt":0.295513152145406,"score_spread":0.2006401583609993,"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."}}