{"id":"W2134166217","doi":"10.1117/1.602352","title":"Eye-safe digital 3-D sensing for space applications","year":2000,"lang":"en","type":"article","venue":"Optical Engineering","topic":"Advanced Optical Sensing Technologies","field":"Physics and Astronomy","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Aeronautics and Space Administration","keywords":"Computer science; Optical engineering; Computer graphics (images); Computer vision; Remote sensing; Optics; Geology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001958773,0.0001189697,0.0001238259,0.0000233157,0.00005887387,0.00006383099,0.00007871756,0.00004026832,0.0000519912],"category_scores_gemma":[0.00002554658,0.0001198874,0.00006401014,0.0001128108,0.00004005793,0.0001101312,0.00002592641,0.0001206483,0.00008182994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001921072,"about_ca_system_score_gemma":0.000006576849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001073287,"about_ca_topic_score_gemma":3.265571e-8,"domain_scores_codex":[0.999356,6.448378e-7,0.0001180839,0.0001830023,0.00006148714,0.0002807713],"domain_scores_gemma":[0.9995865,0.0001194084,0.00001139675,0.000191589,0.00002314419,0.00006798884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007424075,0.00003800647,0.00005310063,0.00001059462,0.00003001392,0.000001013327,0.000009443711,0.04827902,0.003243578,0.3780258,0.00004195999,0.57026],"study_design_scores_gemma":[0.0008871852,0.00009126497,0.000252345,0.0000807718,0.00005971337,0.000005165247,0.00009694341,0.5522942,0.02617836,0.05245234,0.3665397,0.001062032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02622978,0.00001186374,0.9578134,0.0003572628,0.00002508974,0.000214064,0.00001490844,0.0002959796,0.01503765],"genre_scores_gemma":[0.7274069,5.557358e-7,0.2718416,0.000006404467,0.0001465106,0.00001697797,0.00001314583,0.00002319978,0.0005447584],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7011771,"threshold_uncertainty_score":0.4888868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004219500884974743,"score_gpt":0.2169746825519747,"score_spread":0.212755181667,"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."}}