{"id":"W6984954067","doi":"","title":"The Year That Was","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000886749,0.0003444602,0.0003649415,0.001002472,0.004226226,0.004748266,0.0003961452,0.001265821,0.07947407],"category_scores_gemma":[0.00282363,0.0002135149,0.0003898217,0.001488595,0.001151775,0.001236297,0.002130887,0.002633054,0.01824278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003812816,"about_ca_system_score_gemma":0.008102738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1217499,"about_ca_topic_score_gemma":0.2788987,"domain_scores_codex":[0.9994294,0.00003788272,0.0000142678,0.00008398102,0.0002062741,0.000228127],"domain_scores_gemma":[0.9972184,0.0001089282,0.00008884858,0.000114139,0.0009315293,0.001538284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001963102,0.00004243911,0.00342411,0.0002117196,0.00002218849,0.0006474041,0.001190341,0.0001979307,0.00189654,0.0157071,0.9240202,0.05244383],"study_design_scores_gemma":[0.000006648442,0.00001178996,0.005802733,0.00003808175,0.000002653316,0.00005412926,0.0008392989,0.00001957772,0.0001391424,0.0003266433,0.9927521,0.000007341552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07878606,0.006785037,0.003775867,0.08362957,0.1058507,0.000600533,0.02388288,0.001525355,0.695164],"genre_scores_gemma":[0.07486407,0.001811409,0.001243,0.007477458,0.001886423,0.00009543578,0.002866449,0.0003819824,0.9093738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1217499,"threshold_uncertainty_score":0.2658672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03209095185410015,"score_gpt":0.2838622397109413,"score_spread":0.2517712878568412,"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."}}