{"id":"W3016709196","doi":"10.4325/seikeikakou.32.138","title":"How to SURVIVE at Fraunhofer, the Largest Applied Research Institute in Europe","year":2020,"lang":"en","type":"article","venue":"Seikei-Kakou","topic":"International Science and Diplomacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"ImmunoPrecise (Canada)","funders":"","keywords":"Materials science; Engineering physics; Engineering ethics; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001903239,0.00009386754,0.0001147378,0.00008985632,0.0008513996,0.0002903296,0.0009750676,0.00006230778,0.0001787404],"category_scores_gemma":[0.001562814,0.00006942391,0.00003111677,0.002084788,0.0004229714,0.0003078861,0.0003725371,0.0003042735,0.001357243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001682507,"about_ca_system_score_gemma":0.0003122198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005072402,"about_ca_topic_score_gemma":0.02371782,"domain_scores_codex":[0.9975268,0.0002785012,0.0001412819,0.0003676303,0.001132706,0.0005530281],"domain_scores_gemma":[0.9990128,0.0002307777,0.0000351504,0.0001792643,0.0002863816,0.0002556155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001301925,0.00009681175,0.01272931,0.00001002726,0.00001397453,0.00007889464,0.0726173,0.0001826518,0.004039494,0.8483056,0.05581284,0.005982853],"study_design_scores_gemma":[0.0001675491,0.0000365605,0.01020031,0.000008404616,0.000001451982,3.017876e-7,0.004414374,0.00004628703,0.000393234,0.001710614,0.9829014,0.0001195228],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3349016,0.00006444017,0.0001236089,0.2142603,0.0004887412,0.0006388389,0.00001290701,0.00006705254,0.4494425],"genre_scores_gemma":[0.9839554,0.00004738709,0.00007052974,0.005361991,0.0006120307,0.00003705695,0.000005675922,0.000009389443,0.009900497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9270886,"threshold_uncertainty_score":0.9994203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1793246229043069,"score_gpt":0.4195185174460901,"score_spread":0.2401938945417832,"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."}}