{"id":"W2000503017","doi":"10.1364/ao.47.0cosi1","title":"Computational optical sensing and imaging: introduction to the feature issue","year":2008,"lang":"en","type":"article","venue":"Applied Optics","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Citation; Computer science; Feature (linguistics); Mahalanobis distance; Information retrieval; Optics; World Wide Web; Artificial intelligence; 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":[0.001200934,0.0008206461,0.0008676961,0.001414,0.0006583777,0.003183393,0.001234497,0.002322176,0.01055519],"category_scores_gemma":[0.005068472,0.0006522385,0.0009903045,0.002631044,0.001740007,0.004592255,0.001760672,0.005686209,0.003873298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007432406,"about_ca_system_score_gemma":0.0007809477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006431816,"about_ca_topic_score_gemma":0.0007862614,"domain_scores_codex":[0.9990336,0.0001812259,0.00008079578,0.0001963057,0.0004497676,0.00005832708],"domain_scores_gemma":[0.9967506,0.001764054,0.0001215066,0.0003068234,0.0008846874,0.000172315],"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":[0.00005270846,0.00007430391,0.0005682889,0.001164618,0.0000578568,0.0001675987,0.0001297335,0.003830903,0.003170544,0.3224819,0.3636137,0.3046878],"study_design_scores_gemma":[0.000009960172,0.00005340591,0.0005400847,0.0002588436,0.00001671059,0.0006411482,0.00004397275,0.01146546,0.001457433,0.1852052,0.8002634,0.00004449186],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"editorial","genre_scores_codex":[0.002429766,0.1911711,0.6149429,0.05632842,0.06205267,0.000198946,0.001063491,0.001046379,0.07076637],"genre_scores_gemma":[0.06490847,0.2237833,0.4141801,0.01967966,0.170264,0.0008491954,0.002308482,0.002180877,0.1018459],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.01055519,"threshold_uncertainty_score":0.03531057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005241598979349144,"score_gpt":0.1962524605067531,"score_spread":0.191010861527404,"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."}}