{"id":"W4393111420","doi":"10.53063/synsint.2024.41195","title":"Editorial to celebrate the 3rd anniversary of Synthesis and Sintering","year":2024,"lang":"en","type":"article","venue":"Synthesis and Sintering","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sintering; Engineering physics; Materials science; Political science; Engineering; Metallurgy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004290674,0.001878845,0.001741785,0.002268747,0.002233275,0.007623294,0.001754557,0.004303752,0.02842986],"category_scores_gemma":[0.01381352,0.0006508578,0.001546481,0.000700822,0.001783573,0.002986335,0.001289078,0.008043792,0.02057034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001371884,"about_ca_system_score_gemma":0.002279539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003348482,"about_ca_topic_score_gemma":0.0008768602,"domain_scores_codex":[0.9960381,0.0003074201,0.0003319708,0.0004662542,0.002616159,0.0002401416],"domain_scores_gemma":[0.984526,0.002456727,0.0009119049,0.0005062352,0.009083858,0.00251516],"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":[0.00006769765,0.00002120622,0.00004753573,0.0002676312,0.00001708765,0.0001090764,0.00001713512,0.00005846687,0.000530593,0.001011517,0.9842046,0.01364747],"study_design_scores_gemma":[0.00001800668,0.00005497997,0.0001798301,0.0001799049,0.0000192679,0.000204076,0.00003620685,0.000189651,0.0007662267,0.0009877386,0.9973512,0.00001288491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001047158,0.002831935,0.000409723,0.01003751,0.9840071,0.00001644426,0.00004109955,0.0001001424,0.002451475],"genre_scores_gemma":[0.002243677,0.007483245,0.0005560829,0.008786324,0.9464433,0.00002675432,0.00009902591,0.0002100809,0.03415154],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02842986,"threshold_uncertainty_score":0.09510738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008117881779884163,"score_gpt":0.2401650529261088,"score_spread":0.2320471711462247,"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."}}