{"id":"W2950844641","doi":"10.1002/chin.200025008","title":"ChemInform Abstract: High‐Temperature LaAs<sub>2</sub>.","year":2000,"lang":"en","type":"article","venue":"ChemInform","topic":"Iron-based superconductors research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chemistry; Service (business); Information retrieval; Business; Computer science; Marketing","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":[0.0002499815,0.001074169,0.0005738176,0.0008747869,0.000945579,0.001434876,0.001321452,0.0006897558,0.2776563],"category_scores_gemma":[0.0003638488,0.0004007249,0.0002994847,0.0007915017,0.0002682421,0.001222881,0.0006839255,0.001165439,0.07844751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009989252,"about_ca_system_score_gemma":0.0007830581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008669957,"about_ca_topic_score_gemma":0.001340321,"domain_scores_codex":[0.9998096,0.00001156739,0.00000691905,0.0000322118,0.0001114579,0.00002830514],"domain_scores_gemma":[0.9998685,0.00001796886,0.00001729206,0.00001685811,0.00004760377,0.00003179923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001027947,0.0001093008,0.0003288116,0.00226301,0.00006314945,0.0003290096,0.00008642989,0.0003944544,0.2287349,0.01288437,0.6854941,0.06828453],"study_design_scores_gemma":[0.0003781994,0.0001997217,0.001462569,0.0001257449,0.0000524106,0.0004827692,0.00007241144,0.00130544,0.2289437,0.003424754,0.7634984,0.00005388176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05630367,0.01335658,0.0234775,0.00724903,0.008368945,0.0004184782,0.06286389,0.03506323,0.7928987],"genre_scores_gemma":[0.3326926,0.0134651,0.01760359,0.002731397,0.002034204,0.0006494889,0.0862416,0.006588075,0.5379939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2776563,"threshold_uncertainty_score":0.9288528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01222651265369783,"score_gpt":0.241453873040755,"score_spread":0.2292273603870572,"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."}}