{"id":"W7064778805","doi":"","title":"Cornelia Hanh Oberlander : Genius Loci","year":2021,"lang":"en","type":"book","venue":"E-Artexte (Artexte)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genius; Meaning (existential); Embodied cognition; Sign (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000853641,0.001309478,0.001636818,0.0003069191,0.0005009242,0.0006488682,0.001355833,0.001207014,0.03364317],"category_scores_gemma":[0.000084578,0.001297123,0.0006524717,0.0002990027,0.0004795724,0.0004015886,0.0004191403,0.001454776,0.01022036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007641828,"about_ca_system_score_gemma":0.001590103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008745371,"about_ca_topic_score_gemma":0.0003801312,"domain_scores_codex":[0.9935315,0.0002819723,0.001158142,0.002056868,0.001222861,0.001748608],"domain_scores_gemma":[0.9961692,0.0001696408,0.000648931,0.002097934,0.0004040646,0.0005102308],"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":[0.00007074414,0.0001751703,0.00001117374,0.000179603,0.00009734948,0.000329259,0.0003526869,0.000002289047,0.1622643,0.01100491,0.8226938,0.002818712],"study_design_scores_gemma":[0.0006915396,0.0005276154,0.0001198176,0.0004259213,0.0002296755,0.000167122,0.00003437792,0.00003212906,0.1244462,0.02020777,0.8514493,0.001668591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006585749,0.01743632,0.004895154,0.0008918389,0.003663843,0.001895572,0.000332707,0.002636405,0.9616624],"genre_scores_gemma":[0.006048376,0.001320107,0.002997317,0.002082194,0.00180561,0.0001804119,0.0006561003,0.0003562507,0.9845536],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03781808,"threshold_uncertainty_score":0.9999657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232662331974543,"score_gpt":0.2554794492188636,"score_spread":0.2431528258991181,"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."}}