{"id":"W2953665735","doi":"10.22260/isarc2019/0152","title":"A Comparison of TLS-based and ALS-based Techniques for Concrete Floor Waviness Assessment","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Waviness; Point cloud; Computer science; Wavelet transform; Laser scanning; Point (geometry); Wavelet; Remote sensing; Laser; Artificial intelligence; Engineering; Geology; Mechanical engineering; Optics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759114,0.0008290179,0.0006025002,0.004457351,0.0002601755,0.00112088,0.0007275465,0.00069454,0.002965922],"category_scores_gemma":[0.002750193,0.00034745,0.0009681415,0.003007806,0.0003117506,0.001290221,0.0008901728,0.0004697358,0.001685101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003831856,"about_ca_system_score_gemma":0.0005194145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002373594,"about_ca_topic_score_gemma":0.004410574,"domain_scores_codex":[0.9981915,0.0002661836,0.0001077305,0.0001854023,0.001161288,0.00008797539],"domain_scores_gemma":[0.9977061,0.0004453115,0.0002022351,0.0001728322,0.001400423,0.00007309584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008882011,0.0002393743,0.02304882,0.001074447,0.0002607121,0.0001891329,0.0004936351,0.02124035,0.1550427,0.001221271,0.002285041,0.7940162],"study_design_scores_gemma":[0.0001348166,0.0013252,0.1364606,0.0004211414,0.0005394392,0.001400383,0.002485417,0.6568852,0.1749685,0.002186474,0.02283725,0.0003555501],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.349589,0.00442271,0.6258926,0.0002570697,0.0003048947,0.000339547,0.001208417,0.003261905,0.01472383],"genre_scores_gemma":[0.6264948,0.002229821,0.3653703,0.00006136346,0.00006963458,0.0001171975,0.001134816,0.0002358432,0.004286284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004457351,"threshold_uncertainty_score":0.009922028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02537540469225281,"score_gpt":0.2917384794726486,"score_spread":0.2663630747803958,"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."}}