{"id":"W4384820062","doi":"10.1117/12.2674076","title":"Towards quantum sensing and imaging: LIDAR and 3D scene reconstruction","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Ottawa","funders":"","keywords":"Lidar; Computer science; Remote sensing; Computer vision; Iterative reconstruction; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001976892,0.0005788808,0.001076891,0.0009172488,0.0004459636,0.003480226,0.001315826,0.002619398,0.00303913],"category_scores_gemma":[0.004284003,0.000884761,0.0006576248,0.001046692,0.003779532,0.005866829,0.003357348,0.002914298,0.001079385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001099295,"about_ca_system_score_gemma":0.001001857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001484926,"about_ca_topic_score_gemma":0.001713471,"domain_scores_codex":[0.9989232,0.0003473591,0.00004508274,0.0001740617,0.000435039,0.00007515728],"domain_scores_gemma":[0.9980552,0.0008309249,0.0001473596,0.0004533085,0.0004054512,0.0001077176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001261622,0.000106238,0.000970763,0.0003755739,0.00007063707,0.00007995692,0.0003310868,0.03160878,0.02951776,0.7467654,0.006665438,0.1833823],"study_design_scores_gemma":[0.00002359165,0.00005207597,0.0006248995,0.00007837042,0.00001732106,0.0002359366,0.000125053,0.4000841,0.01193847,0.5662085,0.0205381,0.0000736361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00858099,0.00425174,0.97499,0.00373022,0.0002722696,0.00003242667,0.000135115,0.0004284476,0.007578766],"genre_scores_gemma":[0.2619182,0.006176612,0.7229585,0.001653184,0.0005256557,0.00007622036,0.0002443962,0.0001877147,0.006259542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003480226,"threshold_uncertainty_score":0.01045495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261149707739826,"score_gpt":0.2526739850722763,"score_spread":0.240062487994878,"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."}}