{"id":"W4408759017","doi":"10.1007/978-3-658-47337-2_4","title":"Vom Elevator Pitch zum Science Pitch","year":2025,"lang":"de","type":"book-chapter","venue":"","topic":"Cybernetics and Technology in Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Red Deer College","funders":"","keywords":"Elevator; Computer science; Aerospace engineering; 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":[0.0001876968,0.000783163,0.0003143139,0.001196696,0.002252873,0.004530311,0.0005270874,0.001137079,0.1051977],"category_scores_gemma":[0.0004517552,0.0003101764,0.0002200486,0.001230369,0.001589622,0.002891609,0.00197285,0.002225558,0.04987598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431684,"about_ca_system_score_gemma":0.001165477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002513662,"about_ca_topic_score_gemma":0.007697446,"domain_scores_codex":[0.9998212,0.00002793824,0.000006520404,0.00003729999,0.00007803043,0.00002896152],"domain_scores_gemma":[0.9999136,0.00002110073,0.000006495502,0.00001225294,0.00002507335,0.00002158471],"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":[0.00003128829,0.00002485084,0.0001183341,0.0001597258,0.000002479503,0.000126681,0.00142732,0.0003645429,0.001323038,0.5547096,0.2593711,0.182341],"study_design_scores_gemma":[0.000001284161,0.000007473647,0.00008244476,0.0000539152,7.863205e-7,0.00007995767,0.0002385425,0.00006842639,0.0002066674,0.01161661,0.9876414,0.000002554498],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005433433,0.003223351,0.002149886,0.0006495396,0.001199656,0.00001247759,0.00005368134,0.00006162972,0.9921064],"genre_scores_gemma":[0.007383126,0.00277159,0.0007478839,0.0001589762,0.0003010068,0.00001457546,0.00005804972,0.00008049942,0.9884843],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1051977,"threshold_uncertainty_score":0.3519213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668123597331632,"score_gpt":0.2302254128485222,"score_spread":0.2135441768752059,"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."}}