{"id":"W4390414140","doi":"10.1088/978-0-7503-5022-8ch11","title":"Case studies: summaries, conclusions and outlook","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"History","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001268031,0.0004562822,0.0007172297,0.0001596812,0.000639956,0.0002564808,0.0003879111,0.0002625967,0.005780148],"category_scores_gemma":[0.000636666,0.0003619182,0.00006847829,0.00004376293,0.0009643544,0.0001476709,0.001653637,0.0002905419,0.003231567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007508758,"about_ca_system_score_gemma":0.0001211896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001741671,"about_ca_topic_score_gemma":0.0002695531,"domain_scores_codex":[0.9976063,0.00006737122,0.0005412753,0.0008883273,0.0004740662,0.0004226683],"domain_scores_gemma":[0.9979858,0.00073184,0.0002872208,0.0006306692,0.0001759129,0.0001885618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003810248,0.00001800396,0.00003698921,0.0006530676,0.0001098357,0.02035259,0.002407497,0.0001298523,0.02124464,0.8835136,0.07008693,0.001408834],"study_design_scores_gemma":[0.001225623,0.000670925,0.00001737817,0.001230572,0.0005240662,0.01721141,0.001493359,0.001207981,0.002732915,0.19122,0.7784374,0.004028332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01045431,0.001402015,0.0002213241,0.001344866,0.007277407,0.001148966,0.000772381,0.002068778,0.97531],"genre_scores_gemma":[0.001633721,0.0005413833,0.003301032,0.0004477762,0.000303931,0.00002162874,0.00002224682,0.0001005308,0.9936277],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7083505,"threshold_uncertainty_score":0.9998833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06071645055578083,"score_gpt":0.3147431256870987,"score_spread":0.2540266751313179,"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."}}