{"id":"W4312994920","doi":"10.1109/issrew55968.2022.00022","title":"IWSF & SHIFT 2022 Workshop Committee: ISSREW 2022","year":2022,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Electrical engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.008072007,0.00149046,0.0009558189,0.001441524,0.00279502,0.005714831,0.001657781,0.006576391,0.2680348],"category_scores_gemma":[0.004873385,0.0005520781,0.001171607,0.0007488307,0.0007480301,0.002040789,0.004922758,0.003946921,0.2177429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001927095,"about_ca_system_score_gemma":0.008157332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579984,"about_ca_topic_score_gemma":0.008584028,"domain_scores_codex":[0.9970854,0.0003197075,0.00009368177,0.0004085387,0.001390348,0.0007024271],"domain_scores_gemma":[0.987334,0.0004343879,0.0002440328,0.0003371687,0.005099551,0.006550833],"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":[0.0002458753,0.0001084109,0.000194696,0.00009951717,0.000008225308,0.00006017331,0.00002776113,0.0001958872,0.001936493,0.0009680185,0.9729851,0.0231698],"study_design_scores_gemma":[0.00006449728,0.0001562364,0.0007523834,0.00008848371,0.000009032226,0.00004626597,0.0001085673,0.0006527921,0.001875252,0.001393439,0.9948332,0.00001996817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0147192,0.008554504,0.02403818,0.2357038,0.3226065,0.00422167,0.01361115,0.003117779,0.3734272],"genre_scores_gemma":[0.0109432,0.001316998,0.003860333,0.008994403,0.01836723,0.0005140213,0.004066934,0.0008180196,0.9511189],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2680348,"threshold_uncertainty_score":0.8966658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833168279948865,"score_gpt":0.2816571233493204,"score_spread":0.2633254405498318,"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."}}