{"id":"W7006503689","doi":"","title":"Utilisation d'un casque de réalité augmentée lors de la numérisation avec un scanner 3D portable","year":2020,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Matrizyme (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanner; 3d scanning; 3d model","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":[0.0007765545,0.001340422,0.0008092017,0.001395158,0.0008001602,0.002955359,0.00182908,0.002607357,0.02366216],"category_scores_gemma":[0.003725239,0.0009086105,0.001132749,0.001180418,0.0009527753,0.002831005,0.001996492,0.001429848,0.005778022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005949867,"about_ca_system_score_gemma":0.001089979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003305734,"about_ca_topic_score_gemma":0.004333956,"domain_scores_codex":[0.9984755,0.0001485025,0.00008679257,0.000291258,0.0008448049,0.0001530585],"domain_scores_gemma":[0.9976973,0.0007569134,0.0001448876,0.0005966531,0.0006884458,0.0001158505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000995263,0.0002527629,0.005070013,0.001652764,0.00009844932,0.005186218,0.002374211,0.0430322,0.4971444,0.02182698,0.01661767,0.4057491],"study_design_scores_gemma":[0.0001151976,0.0008023321,0.004590719,0.0003126276,0.0001806946,0.00635162,0.001155825,0.2129026,0.4646463,0.005560652,0.3030447,0.0003367511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1313846,0.001536865,0.7914785,0.001006642,0.0007299734,0.0003629433,0.0006224117,0.01908313,0.05379487],"genre_scores_gemma":[0.4367319,0.001022367,0.5119168,0.000321346,0.00009597487,0.0002868502,0.001041598,0.0025663,0.04601688],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02366216,"threshold_uncertainty_score":0.07915777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006518573418612042,"score_gpt":0.1865645035556203,"score_spread":0.1800459301370083,"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."}}