{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002724789,0.00005216521,0.00007373364,0.00001568257,0.000181663,0.00004754454,0.0001021105,0.00003449617,0.0007278562],"category_scores_gemma":[0.0002788657,0.00004633229,0.00003232745,0.00006728082,0.0001228408,0.00002757192,0.00003196804,0.00004559348,0.001190117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003834826,"about_ca_system_score_gemma":0.00008011096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002959162,"about_ca_topic_score_gemma":0.00110115,"domain_scores_codex":[0.9991981,0.0000730642,0.00006904432,0.00008804437,0.0002515511,0.0003202453],"domain_scores_gemma":[0.9996011,0.00003080736,0.00001880732,0.00007715137,0.00005526469,0.0002168647],"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":[0.00001374244,0.00003241983,0.04300149,0.00000203543,0.00001151984,0.00001055955,0.08952486,0.000004957325,0.000003406305,0.004830529,0.8581192,0.004445216],"study_design_scores_gemma":[0.0001638339,0.00001977743,0.008326788,0.000003424724,0.000004189823,2.724543e-7,0.01993946,2.939036e-7,0.00001210445,0.000351963,0.9711104,0.00006751534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2771048,0.0005697763,0.00003672589,0.02847565,0.000555151,0.0001004593,0.000003596525,0.00009763944,0.6930562],"genre_scores_gemma":[0.9836215,0.0000207229,0.0001228254,0.001016573,0.0003648783,0.000003447462,0.000001164453,0.000004532431,0.0148443],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7065168,"threshold_uncertainty_score":0.9995876,"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."}}