{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003826017,0.0001054262,0.0001178423,0.00004740504,0.00008867242,0.00008470208,0.0001104431,0.00009229583,0.0000548197],"category_scores_gemma":[0.00002367231,0.00007440961,0.00005254879,0.0002097938,0.00001441541,0.0001056264,0.0000230127,0.0001819623,0.0003644923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007230529,"about_ca_system_score_gemma":0.00002280731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009984434,"about_ca_topic_score_gemma":0.00001143533,"domain_scores_codex":[0.9993265,0.00002613362,0.0001583025,0.0001076141,0.0001898495,0.0001916468],"domain_scores_gemma":[0.9995685,0.00003045913,0.00002266743,0.0002514575,0.00004256514,0.00008430818],"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":[0.0001994747,0.0001065392,0.001204033,0.000143171,0.0004021074,0.000108785,0.009727941,0.2236566,0.1601447,0.004816702,0.4971356,0.1023543],"study_design_scores_gemma":[0.0008630716,0.0001178767,0.0001301702,0.00003322631,0.00002091213,0.0000649851,0.001069166,0.04578244,0.08216764,0.0004146754,0.8690096,0.0003262589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6984163,0.0008022499,0.001546855,0.00007908389,0.003696601,0.0003909304,0.000005677492,0.0005332963,0.294529],"genre_scores_gemma":[0.9983515,0.00000898234,0.0001607823,0.00006182873,0.0003305055,0.00002585969,0.000001876783,0.0000267038,0.001031974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.371874,"threshold_uncertainty_score":0.4684933,"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."}}