{"id":"W1718864761","doi":"10.1002/opph.201300020","title":"Mehr sehen, mehr verstehen","year":2013,"lang":"de","type":"article","venue":"Optik & Photonik","topic":"Technology, Environment, Urban Planning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Allied Vision Technologies (Canada)","funders":"","keywords":"Philosophy; Humanities","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":[0.0002206772,0.0006700157,0.0006481429,0.0002739783,0.0007776674,0.0006884537,0.000842975,0.0004571948,0.03599161],"category_scores_gemma":[0.00003867742,0.0006722393,0.0002674631,0.00009672297,0.0009600086,0.0006046127,0.0004301184,0.0008622848,0.04105951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002868368,"about_ca_system_score_gemma":0.00005862796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001148391,"about_ca_topic_score_gemma":0.00007852318,"domain_scores_codex":[0.996767,0.00008820341,0.0006469155,0.000901099,0.0004773303,0.001119386],"domain_scores_gemma":[0.9980226,0.0001234649,0.00036493,0.001212157,0.00006552177,0.0002113752],"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":[0.0001107426,0.0009260278,0.004048981,0.000315049,0.001931884,0.0002685607,0.02473187,0.0001195306,0.01095713,0.1255274,0.8235077,0.007555146],"study_design_scores_gemma":[0.0008600681,0.0002698936,0.001016906,0.0001257643,0.0002906128,0.000009136154,0.005457188,0.0007504693,0.002367202,0.001035125,0.9869962,0.0008213813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7735726,0.01560136,0.0000250887,0.002832759,0.004029053,0.001789216,0.0003143207,0.0009181999,0.2009174],"genre_scores_gemma":[0.909291,0.001183613,0.001025354,0.001287892,0.001291137,0.0002653995,0.000157352,0.0002024011,0.08529583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1634885,"threshold_uncertainty_score":0.9995729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166525728364617,"score_gpt":0.1980036729467431,"score_spread":0.1813511001102814,"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."}}