{"id":"W4390946272","doi":"10.1038/s44319-024-00057-1","title":"Finding value and beauty in obsolete scientific equipment","year":2024,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Technology Assessment and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Beauty; Value (mathematics); Business; Aesthetics; Computer science; Art","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":[0.004545493,0.0005543428,0.0006633935,0.001805281,0.003278551,0.01212171,0.001515131,0.003924158,0.03676656],"category_scores_gemma":[0.008412945,0.0005927664,0.000810451,0.001117488,0.01505863,0.0122009,0.004731835,0.007368566,0.01032875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002684882,"about_ca_system_score_gemma":0.001436748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000838334,"about_ca_topic_score_gemma":0.002031413,"domain_scores_codex":[0.9977284,0.0004097237,0.00005001109,0.00023288,0.001326074,0.0002530055],"domain_scores_gemma":[0.9962847,0.00140783,0.0002696806,0.0006570858,0.0008239439,0.0005566729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000422022,0.00007778697,0.001887447,0.001265496,0.00008752809,0.001647591,0.01094828,0.0003597907,0.04137514,0.2275264,0.3156824,0.3987201],"study_design_scores_gemma":[0.00002705641,0.0001093794,0.002375267,0.0006323363,0.00003480944,0.001435,0.005782004,0.000236678,0.01248678,0.1152071,0.8615865,0.00008712852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0728457,0.09868906,0.06313008,0.2508241,0.02805348,0.0001066112,0.000658705,0.003972945,0.4817193],"genre_scores_gemma":[0.4369863,0.06945039,0.07157303,0.06297215,0.008560823,0.0001980285,0.0008114548,0.005510301,0.3439375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03676656,"threshold_uncertainty_score":0.1229964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068441145988544,"score_gpt":0.2451017453433144,"score_spread":0.2344173338834289,"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."}}