{"id":"W1543727189","doi":"10.1002/opph.201500021","title":"Seeing Beyond the Visible","year":2015,"lang":"en","type":"article","venue":"Optik & Photonik","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Allied Vision Technologies (Canada)","funders":"","keywords":"Computer science; Image sensor; Artificial intelligence; Computer vision; CMOS; Machine vision; Optics; Remote sensing; Materials science; Optoelectronics; Physics; 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":[0.0003753289,0.0005223719,0.0002803841,0.0005452465,0.001447365,0.005011366,0.0005985735,0.002104561,0.03646396],"category_scores_gemma":[0.0008007674,0.0002656978,0.0004394123,0.0003555196,0.00183839,0.005318758,0.002296175,0.002343563,0.01136328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008695546,"about_ca_system_score_gemma":0.0006159739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002239648,"about_ca_topic_score_gemma":0.002014659,"domain_scores_codex":[0.9995431,0.00004705073,0.000008077082,0.0001335515,0.0001765425,0.00009169644],"domain_scores_gemma":[0.9994712,0.0001148501,0.00003843915,0.00008932625,0.0001829722,0.0001030528],"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":[0.0002213977,0.0001060537,0.003667539,0.0009920147,0.00005880745,0.0007821321,0.003564604,0.001227398,0.1111175,0.2321641,0.1744353,0.4716632],"study_design_scores_gemma":[0.0000201542,0.0001016794,0.004360378,0.0004254527,0.00003695295,0.001092753,0.001757484,0.001166901,0.01441658,0.09953275,0.8770165,0.00007235092],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05319954,0.053779,0.06816903,0.03252132,0.004988754,0.00004483638,0.0008391526,0.001922373,0.784536],"genre_scores_gemma":[0.6742545,0.04023711,0.04035522,0.02080857,0.003603776,0.0000746521,0.00111285,0.0008035162,0.2187497],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03646396,"threshold_uncertainty_score":0.1219841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462285771033837,"score_gpt":0.2240652256540157,"score_spread":0.1994423679436774,"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."}}