{"id":"W4205851168","doi":"10.1364/etop.2021.th2a.2","title":"ETOP Retrospective: An Update","year":2021,"lang":"en","type":"article","venue":"","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plan (archaeology); Computer science; Photonics; Engineering ethics; Engineering; History; Optics; Physics; Archaeology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003366194,0.00008299774,0.00007965539,0.00002307871,0.00002191133,0.00003071225,0.00006349073,0.00003707884,0.0009635137],"category_scores_gemma":[0.0000105765,0.0000929174,0.00002299978,0.0001227183,0.000007189962,0.0001394077,0.00002167471,0.0001304388,0.0001876127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007182663,"about_ca_system_score_gemma":0.000004499156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002018321,"about_ca_topic_score_gemma":0.000002739484,"domain_scores_codex":[0.9995643,0.000007283771,0.00007618708,0.0001203025,0.00008061515,0.00015134],"domain_scores_gemma":[0.9997121,0.000004955954,0.000003530954,0.000202022,0.00001780579,0.00005958889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001304957,0.00003354405,0.003669203,0.00002717368,0.00005274265,0.00009399327,0.0002932917,0.179068,0.7853807,0.02709251,0.002180388,0.002107176],"study_design_scores_gemma":[0.0002364597,0.0000262851,0.01750882,0.00001401004,0.000005753653,0.00004937569,0.0002097267,0.1358095,0.7949185,0.0002033087,0.05062509,0.0003932216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6733398,0.0008969494,0.03297669,0.00005201484,0.0009938326,0.00006029721,0.000003529316,0.002982523,0.2886943],"genre_scores_gemma":[0.9825208,0.0000261578,0.01642325,0.00004606545,0.00008108538,0.000004613554,0.00001216092,0.00003833637,0.0008475204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.309181,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00428973806307284,"score_gpt":0.2145711086395168,"score_spread":0.210281370576444,"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."}}