{"id":"W4388113066","doi":"10.1051/matecconf/202338600001","title":"Preface","year":2023,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001884078,0.001081728,0.0008820267,0.002430183,0.003495555,0.005089404,0.002002054,0.00207434,0.5761291],"category_scores_gemma":[0.01080026,0.0003867605,0.0007464304,0.002233528,0.0008661507,0.004456278,0.003168609,0.003340085,0.4171014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383287,"about_ca_system_score_gemma":0.003729578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003949201,"about_ca_topic_score_gemma":0.004603976,"domain_scores_codex":[0.998489,0.000234868,0.0001138789,0.0003098774,0.0006814406,0.0001708582],"domain_scores_gemma":[0.9952934,0.0007023527,0.0001781257,0.0004940165,0.002533465,0.0007986103],"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":[0.00003541917,0.00002077261,0.0001490298,0.0001214069,0.000002569,0.00006374143,0.0001561718,0.00004997672,0.0001090991,0.005701344,0.9542161,0.03937439],"study_design_scores_gemma":[0.00000317896,0.000011291,0.0001855138,0.00008145332,0.000001277177,0.00005890156,0.0001275455,0.0000191801,0.00005093219,0.001316648,0.9981403,0.000003760792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001936475,0.00786877,0.00628332,0.03116654,0.09592307,0.0007171326,0.01481242,0.002298099,0.8389941],"genre_scores_gemma":[0.007663053,0.005068057,0.003333215,0.008575201,0.01172381,0.0003995294,0.01410299,0.001148381,0.9479857],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4238709,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420336861277075,"score_gpt":0.2827521838562957,"score_spread":0.2585488152435249,"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."}}