{"id":"W4221015837","doi":"10.1149/2.f02221if","title":"241st ECS Meeting, Vancouver, BC, Canada May 29-June 2, 2022","year":2022,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Government (linguistics); Library science; State (computer science); Engineering; Political science; Engineering ethics; Computer science","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":[0.0009612651,0.0007453841,0.0004464688,0.0007992161,0.004296442,0.003786896,0.0009244216,0.002116951,0.2434067],"category_scores_gemma":[0.001336542,0.0003431742,0.0004996932,0.0006522429,0.0005412398,0.0006666191,0.001146756,0.002410804,0.09336556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006716977,"about_ca_system_score_gemma":0.01092071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3976327,"about_ca_topic_score_gemma":0.8562328,"domain_scores_codex":[0.9992611,0.00004156357,0.00001611789,0.00008266904,0.0003740315,0.0002245294],"domain_scores_gemma":[0.998667,0.00003023374,0.00001915368,0.00002953777,0.0008582134,0.0003958549],"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":[0.00007002104,0.00002692789,0.0004376442,0.00003175908,0.000008025972,0.000119676,0.00002862995,0.00007896875,0.0005007532,0.0006235496,0.9849609,0.01311329],"study_design_scores_gemma":[0.000008474308,0.000009933487,0.003020685,0.00004006071,0.000004308617,0.00003147528,0.0001502156,0.0001242408,0.0002288713,0.0001898617,0.9961842,0.000007687991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008010448,0.005928738,0.002213984,0.0320413,0.03726575,0.0002654196,0.01231103,0.0007783832,0.901185],"genre_scores_gemma":[0.006719341,0.001076872,0.0006627123,0.001382272,0.0006658392,0.00002203619,0.001995446,0.0001456925,0.9873298],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6023673,"threshold_uncertainty_score":0.8142765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005040364116231006,"score_gpt":0.2280091479822903,"score_spread":0.2229687838660593,"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."}}