{"id":"W2942940950","doi":"10.1007/978-3-319-69251-7_22","title":"Distance Mapping Cameras","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Satellite Image Processing and Photogrammetry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer vision; Artificial intelligence; Pixel; Computer science; Object (grammar); Camera auto-calibration; Lens (geology); Video camera; Computer graphics (images); Camera resectioning; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004253697,0.0002765187,0.000261795,0.0001004744,0.0000237561,0.00006679254,0.0001431898,0.0002201025,0.0009540897],"category_scores_gemma":[0.000002920211,0.0002729666,0.00009454715,0.00002729775,0.00002745039,0.00004806927,0.0000182312,0.0003535687,0.001460496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005024545,"about_ca_system_score_gemma":0.00002036106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009032642,"about_ca_topic_score_gemma":0.000005465994,"domain_scores_codex":[0.9992664,0.000001396194,0.0001913204,0.0002049784,0.0001356006,0.0002003264],"domain_scores_gemma":[0.9995561,0.00003529568,0.00003107909,0.0002926732,0.0000298812,0.00005502741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001266461,0.00001374928,0.0001855134,0.004615969,0.0006413699,0.0001000816,0.0005024035,0.0009875856,0.001285334,0.07462992,0.0739411,0.8430843],"study_design_scores_gemma":[0.00006004784,0.000004219607,0.000004701445,0.0002677144,0.00001440199,0.000006106573,0.00000679295,0.001824598,0.0002869696,0.001734629,0.9953914,0.0003984624],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000642011,0.00942436,0.03579803,0.00000787434,0.0005821867,0.00009009588,0.00001284203,0.0006044556,0.9534737],"genre_scores_gemma":[0.004743428,0.0009634772,0.002509226,0.0001182935,0.0001858604,0.000002620779,0.00004115875,0.0001404514,0.9912955],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9214503,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366541395684595,"score_gpt":0.1961070250317723,"score_spread":0.1824416110749264,"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."}}