{"id":"W4416643759","doi":"10.1108/979-8-88730-088-7-20251017","title":"Conclusion","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Reflection (computer programming); Natural (archaeology); Subjectivity; The Thing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001988837,0.0007072735,0.0004787559,0.001258605,0.003364738,0.007381045,0.001943189,0.003021672,0.2573517],"category_scores_gemma":[0.007318849,0.0002713778,0.0008733099,0.001182189,0.001190115,0.004319572,0.003970836,0.002710192,0.1257269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003849791,"about_ca_system_score_gemma":0.004569754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005671005,"about_ca_topic_score_gemma":0.006375975,"domain_scores_codex":[0.9972095,0.0004115802,0.0001244616,0.0006349112,0.001156457,0.0004631733],"domain_scores_gemma":[0.9977461,0.000274962,0.00009721981,0.0002843566,0.001199164,0.000398282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001460715,0.00008900877,0.001944755,0.0004899724,0.00002285294,0.0005052515,0.00220767,0.0003106147,0.000642219,0.1767973,0.6070197,0.2098246],"study_design_scores_gemma":[0.000007636211,0.00001371408,0.0005931787,0.000203109,0.000006060111,0.0001617736,0.0009860512,0.00008545537,0.0002728629,0.01080781,0.9868551,0.000007178238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003898232,0.002155835,0.007063259,0.01857418,0.005564149,0.0001871398,0.001389359,0.0006615969,0.9605062],"genre_scores_gemma":[0.0542488,0.002560179,0.007415453,0.01382211,0.001022178,0.0002373635,0.002962872,0.0007354817,0.9169955],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7426482,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3321952993037506,"score_gpt":0.5115215601805031,"score_spread":0.1793262608767525,"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."}}