{"id":"W4233655861","doi":"10.1557/mrs.2015.192","title":"CAREER CENTRAL","year":2015,"lang":"en","type":"article","venue":"MRS Bulletin","topic":"Earthquake and Disaster Impact Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Materials science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001206983,0.0007592519,0.0005766098,0.00199597,0.004317768,0.005938941,0.001353019,0.001735058,0.873495],"category_scores_gemma":[0.004257943,0.0005440738,0.0003933725,0.001745258,0.0005310696,0.002282687,0.004860943,0.002393429,0.7553259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001672937,"about_ca_system_score_gemma":0.006868304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406096,"about_ca_topic_score_gemma":0.0115452,"domain_scores_codex":[0.9989938,0.0001349451,0.00003535873,0.0001801336,0.0003796347,0.0002761142],"domain_scores_gemma":[0.9936044,0.0002517104,0.0001468158,0.0004003881,0.001468182,0.004128568],"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":[0.00003880346,0.00006143364,0.0003149819,0.00004674881,0.000001089657,0.00004026558,0.00009546758,0.00001295207,0.0001801888,0.003187868,0.9425113,0.0535089],"study_design_scores_gemma":[0.000007061694,0.00001222841,0.000413162,0.00002268983,6.853831e-7,0.00002780949,0.0001366049,0.00001821095,0.00006212972,0.0005368585,0.9987601,0.000002556427],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001101345,0.0003735375,0.0006328115,0.006269262,0.002897709,0.0001183979,0.002466674,0.001207712,0.9849325],"genre_scores_gemma":[0.00107424,0.00008292153,0.0001334042,0.0003917662,0.0001042137,0.00002665469,0.0004645097,0.000142046,0.9975803],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.126505,"threshold_uncertainty_score":0.180444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0783849519383865,"score_gpt":0.306189391954984,"score_spread":0.2278044400165974,"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."}}