{"id":"W4389818355","doi":"10.5194/isprs-archives-xlviii-1-w2-2023-1991-2023","title":"Preface: Workshop “Laser Scanning 2023”","year":2023,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Laser scanning; Laser; Materials science; Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002616301,0.00160948,0.0007738703,0.001812375,0.002002486,0.003912043,0.001643176,0.003643872,0.2517253],"category_scores_gemma":[0.003167057,0.0003643019,0.001070429,0.0008772195,0.0003668377,0.002162067,0.003083091,0.003084855,0.1693331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339309,"about_ca_system_score_gemma":0.002246543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127828,"about_ca_topic_score_gemma":0.006194161,"domain_scores_codex":[0.9991701,0.0001707173,0.00004509095,0.0001522413,0.0003197658,0.0001419909],"domain_scores_gemma":[0.9958229,0.0003207576,0.0001094299,0.0001830561,0.002290482,0.001273315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008310498,0.00002474847,0.00004830013,0.00007723539,0.000003090305,0.00003722598,0.00001400281,0.00007510803,0.0005354522,0.0002892646,0.985494,0.01331846],"study_design_scores_gemma":[0.00002001978,0.00003870951,0.000504768,0.00009727395,0.000003778438,0.00004343139,0.00005115516,0.0001334924,0.0003033456,0.0007506959,0.9980437,0.000009568437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.002382575,0.0113536,0.009403877,0.05417321,0.7235891,0.001511968,0.007455788,0.001668321,0.1884616],"genre_scores_gemma":[0.008748671,0.004059493,0.003722393,0.01461672,0.09887998,0.0008200026,0.009802585,0.001125294,0.8582249],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2517253,"threshold_uncertainty_score":0.8421052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494006246784084,"score_gpt":0.2546178972776718,"score_spread":0.2296778348098309,"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."}}