{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01336653,0.000987647,0.001272734,0.01521579,0.001510244,0.006198883,0.003217955,0.00312751,0.0510013],"category_scores_gemma":[0.07880503,0.001036395,0.001698479,0.02011927,0.001513662,0.01238288,0.003912502,0.006947291,0.03234076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004520013,"about_ca_system_score_gemma":0.007821744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009691872,"about_ca_topic_score_gemma":0.009934617,"domain_scores_codex":[0.9945034,0.0008500455,0.001851966,0.0007105439,0.001572909,0.0005112265],"domain_scores_gemma":[0.9256949,0.02601032,0.007420354,0.004445346,0.03239075,0.004038291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001939225,0.00004228641,0.002252225,0.002279594,0.00004971174,0.0002142575,0.000151757,0.0001445004,0.00008354841,0.002069711,0.8783953,0.1141232],"study_design_scores_gemma":[0.00001751071,0.00001680371,0.002206971,0.004251067,0.00003731224,0.0004279932,0.0001571764,0.00002169155,0.00008501663,0.0003420313,0.9924175,0.0000188891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008015809,0.4118379,0.00509674,0.2083339,0.1508763,0.0005665907,0.1046579,0.001275099,0.1093397],"genre_scores_gemma":[0.02503722,0.5766553,0.006338134,0.1116216,0.1059284,0.001638519,0.1063748,0.00340201,0.06300404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0510013,"threshold_uncertainty_score":0.1706163,"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."}}