{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006279672,0.0008989272,0.0006879226,0.0007970595,0.01259375,0.01582192,0.001762691,0.008295473,0.07108733],"category_scores_gemma":[0.01114384,0.0003004914,0.0008289113,0.0006458058,0.003185822,0.01276651,0.008147531,0.008511612,0.03807416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002447062,"about_ca_system_score_gemma":0.01321289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988926,"about_ca_topic_score_gemma":0.009505379,"domain_scores_codex":[0.9956778,0.0008842174,0.0001067691,0.0003775666,0.0008082806,0.002145284],"domain_scores_gemma":[0.9853128,0.0004899628,0.0003015962,0.0004911658,0.001494864,0.01190957],"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":[0.0001129521,0.000169654,0.002821383,0.0001188157,0.00003642995,0.0004501725,0.002203998,0.0002587043,0.0006671576,0.03200075,0.8583428,0.1028172],"study_design_scores_gemma":[0.00002381489,0.0001129645,0.003412965,0.0002954305,0.0000148247,0.0002970383,0.009272644,0.00015433,0.000311116,0.02868729,0.9573709,0.00004669092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0244507,0.007679869,0.006271116,0.7534503,0.02555273,0.0001256265,0.0005487301,0.0008974191,0.1810235],"genre_scores_gemma":[0.2394592,0.00834671,0.01867555,0.17644,0.008235743,0.0004783452,0.001604595,0.001858152,0.5449016],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07108733,"threshold_uncertainty_score":0.2378108,"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."}}