{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02021457,0.0003608476,0.0005039716,0.002821668,0.005659935,0.01176789,0.001090933,0.001976555,0.005080958],"category_scores_gemma":[0.03140007,0.0004291211,0.0003404761,0.003617213,0.01536539,0.02289938,0.005583896,0.003327809,0.0005369924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005169129,"about_ca_system_score_gemma":0.008163006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092475,"about_ca_topic_score_gemma":0.01404371,"domain_scores_codex":[0.9888171,0.007766044,0.000392858,0.0008211331,0.001696597,0.0005062547],"domain_scores_gemma":[0.9718269,0.02287954,0.001924056,0.001109198,0.001636697,0.0006236205],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005627,0.00004935166,0.002931459,0.0003418296,0.00001560552,0.0002405856,0.8686303,0.0000991186,0.000441128,0.09305059,0.002207926,0.03193583],"study_design_scores_gemma":[0.00001277161,0.00007742775,0.00755658,0.001522507,0.00003796455,0.0003074635,0.8336182,0.0003027559,0.001262521,0.06339503,0.09185705,0.00004986194],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7414043,0.02643582,0.0190148,0.06929915,0.0004800051,0.0003214376,0.0003258127,0.0000410242,0.1426776],"genre_scores_gemma":[0.9726655,0.007770926,0.004615541,0.002770902,0.00007599047,0.0002176562,0.0001104438,0.00002942405,0.01174366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9882321,"threshold_uncertainty_score":0.1069062,"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."}}