{"id":"W4379548550","doi":"10.5281/zenodo.8012140","title":"The Significance of Accelerated Discovery of Advanced Materials to address Societal Challenges","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Data science; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008107516,0.0005098243,0.0008071224,0.0006097218,0.001300565,0.004433489,0.00172902,0.006964307,0.01465774],"category_scores_gemma":[0.02009979,0.0002779483,0.0008080239,0.0007365422,0.005323824,0.01138938,0.002606088,0.006596299,0.002772286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002192755,"about_ca_system_score_gemma":0.003541931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009561026,"about_ca_topic_score_gemma":0.001008462,"domain_scores_codex":[0.9963136,0.001235192,0.0001580902,0.0005587005,0.001145622,0.0005886903],"domain_scores_gemma":[0.9825838,0.01175904,0.0008027778,0.002103316,0.001888851,0.0008620454],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008892231,0.00003859253,0.0003391674,0.0004696191,0.00003030815,0.0003608033,0.0001620039,0.002237912,0.002185774,0.9250498,0.0538436,0.01519342],"study_design_scores_gemma":[0.00002535375,0.00005179084,0.0005553806,0.0001346962,0.00001421533,0.0003829034,0.0003661831,0.002536173,0.002542439,0.7249345,0.2684247,0.00003166279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01992371,0.03698843,0.03765267,0.727357,0.01752139,0.00009998649,0.0006195016,0.0003495571,0.1594878],"genre_scores_gemma":[0.6601818,0.07121699,0.05503811,0.1276106,0.01764132,0.0004518417,0.0005356724,0.0004737568,0.06684981],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9918925,"threshold_uncertainty_score":0.04903501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1018042363663505,"score_gpt":0.3576184403825344,"score_spread":0.255814204016184,"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."}}