{"id":"W2383598272","doi":"","title":"Discussion on Reform of Fundamental Engineering Optics Experiment","year":2001,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Measure (data warehouse); Engineering; Control (management); Computer science; Artificial intelligence","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":[0.00005439389,0.0001950279,0.0001699576,0.000117652,0.00002287624,0.00001391443,0.0001282309,0.00006126723,0.0001769359],"category_scores_gemma":[0.000004700829,0.0001431654,0.00006355274,0.0001420095,0.00001434773,0.0001031309,0.0000412497,0.0001533857,0.00004612888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286894,"about_ca_system_score_gemma":0.000002903886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006675525,"about_ca_topic_score_gemma":4.190586e-7,"domain_scores_codex":[0.9991447,0.000003563454,0.0002443128,0.0001346157,0.0002110471,0.0002618097],"domain_scores_gemma":[0.9996374,0.00001441874,0.00001795098,0.0002341325,0.00000875635,0.00008735565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001238078,0.00006059823,0.0002054848,0.00004368435,0.00003773217,0.00000991956,0.0003381684,0.5270097,0.4679992,0.003252355,0.00007915066,0.0009516558],"study_design_scores_gemma":[0.000480084,0.0002261446,0.0009097558,0.0001603147,0.000006775785,0.00002227982,0.001185705,0.3195851,0.6690461,0.000006349234,0.007953526,0.0004178412],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329762,0.0001982489,0.00640534,0.00003872665,0.0006721956,0.000153947,0.00000239449,0.000844062,0.05870892],"genre_scores_gemma":[0.9915133,0.00004347734,0.007799191,0.000009201962,0.00007142272,0.00001916063,0.000006365458,0.00006354968,0.0004743932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2074246,"threshold_uncertainty_score":0.5838114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007929292962189928,"score_gpt":0.2219577610878756,"score_spread":0.2140284681256857,"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."}}