{"id":"W4404989063","doi":"10.1017/9781009562942.021","title":"Conclusions","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Cellular Automata and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Psychology","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":[0.002070981,0.0008983664,0.0005806994,0.001544267,0.002755508,0.006763246,0.001922569,0.003039241,0.3527601],"category_scores_gemma":[0.00701143,0.0003074316,0.001147715,0.001442235,0.0008769287,0.003953527,0.003516758,0.002544282,0.2050274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003308685,"about_ca_system_score_gemma":0.003976543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005484567,"about_ca_topic_score_gemma":0.004854523,"domain_scores_codex":[0.9976836,0.0002856118,0.0001176023,0.0005790911,0.0009164627,0.0004174917],"domain_scores_gemma":[0.9972149,0.0003033534,0.0001177047,0.0004475764,0.001426491,0.0004898834],"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":[0.0002211777,0.00008215402,0.001824144,0.0005162609,0.00003389173,0.0002987278,0.0005993919,0.0005055793,0.0008035635,0.0756063,0.7229555,0.1965532],"study_design_scores_gemma":[0.00001457588,0.00001742654,0.0007779387,0.0001780114,0.000008844749,0.0001244827,0.0003126937,0.000125195,0.0003713383,0.00995907,0.9881012,0.000009261089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004266341,0.003645799,0.009399312,0.02383939,0.0115393,0.0003111746,0.005656128,0.001784514,0.939558],"genre_scores_gemma":[0.05123542,0.004104674,0.009052512,0.01982507,0.002448042,0.0003763955,0.0102827,0.001418434,0.9012567],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3527601,"threshold_uncertainty_score":0.9232092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01831124533179367,"score_gpt":0.2001804296138603,"score_spread":0.1818691842820666,"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."}}