{"id":"W892941465","doi":"","title":"„Wenn man jemanden kennt, der sich auskennt ...“ : Erkenntnisse aus einer Studie zum Informationsverhalten in den Biowissenschaften nach Sonnenwalds „Information Horizons“","year":2013,"lang":"de","type":"article","venue":"Ingénierie des systèmes d information","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy; Gynecology; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication","insufficient_payload"],"category_scores_codex":[0.00124645,0.001255389,0.001211544,0.00223897,0.00216932,0.00827639,0.001158702,0.0007360165,0.003719768],"category_scores_gemma":[0.0003217887,0.001152975,0.0003973071,0.001098338,0.000565582,0.08001576,0.0006611323,0.0009267891,0.01505088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009713042,"about_ca_system_score_gemma":0.0004568317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005457022,"about_ca_topic_score_gemma":0.0007279611,"domain_scores_codex":[0.9914054,0.0002295983,0.004865249,0.0003865462,0.001376953,0.001736264],"domain_scores_gemma":[0.9935729,0.0002585694,0.002480509,0.001087704,0.002070721,0.0005295775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005185538,0.0004113031,0.004314209,0.007494959,0.001724806,0.00001575863,0.618588,0.001555703,0.00002060113,0.1402874,0.1210254,0.1040433],"study_design_scores_gemma":[0.003850832,0.0007325413,0.01115406,0.001209976,0.0004075465,0.00005592244,0.1007767,0.04065756,0.0001579584,0.004815961,0.8338017,0.002379247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6667885,0.008412752,0.005370583,0.007725454,0.01082526,0.01246323,0.001934668,0.002174736,0.2843048],"genre_scores_gemma":[0.9850036,0.001136485,0.00122867,0.003736891,0.001252347,0.001017719,0.005024647,0.00009099807,0.001508673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7127763,"threshold_uncertainty_score":0.9991297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522179489731642,"score_gpt":0.2128002824872366,"score_spread":0.1975784875899201,"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."}}