{"id":"W6892539751","doi":"10.5281/zenodo.10694261","title":"Substrate Durability Assessment","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Currency Recognition and Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Montmorency","funders":"","keywords":"Ageing; Metric (unit); Durability; Banknote; Substrate (aquarium); Statistical analysis; Lead (geology)","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":[0.0009640749,0.0007413568,0.0005450761,0.002464549,0.0004626884,0.001073386,0.0006008495,0.0009266365,0.008256571],"category_scores_gemma":[0.001958355,0.0002073636,0.0003830021,0.00118636,0.0002897572,0.0007033897,0.0008753422,0.0005856354,0.002087441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005906,"about_ca_system_score_gemma":0.0002130177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000591094,"about_ca_topic_score_gemma":0.001483212,"domain_scores_codex":[0.9991513,0.00006100283,0.00007904117,0.0001462627,0.0004820117,0.00008031866],"domain_scores_gemma":[0.9979517,0.0003652831,0.0002379081,0.0002965878,0.001042739,0.0001057704],"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":[0.0006685206,0.0002109159,0.04796535,0.0009769929,0.0001050367,0.00124541,0.0006614367,0.006681006,0.722518,0.0005045501,0.002054306,0.2164084],"study_design_scores_gemma":[0.0000207604,0.002892204,0.2233543,0.0002558207,0.0002951775,0.002604227,0.001581268,0.01426822,0.7147071,0.0009244569,0.03894534,0.0001510673],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9446294,0.004085695,0.02928114,0.00007418596,0.0001615977,0.0003393813,0.002997524,0.0005640012,0.01786705],"genre_scores_gemma":[0.9681163,0.001271054,0.01512699,0.00006441544,0.00002107808,0.0001202402,0.001807224,0.0001305036,0.01334209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008256571,"threshold_uncertainty_score":0.02762103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924884236181702,"score_gpt":0.2851112724720999,"score_spread":0.2358624301102829,"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."}}