{"id":"W2911105724","doi":"10.1145/3308774.3308787","title":"Autumn School for Information Retrieval and Information Foraging (ASIRF 2017)","year":2019,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Foraging; Information retrieval; Information behavior; Library science; World Wide Web; Ecology","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":[0.01413259,0.001682179,0.00221748,0.003284293,0.00361348,0.01029654,0.00264555,0.004577702,0.1578761],"category_scores_gemma":[0.01220902,0.0007432129,0.001050774,0.002077575,0.001659277,0.007559702,0.007099221,0.004853545,0.08932721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00452639,"about_ca_system_score_gemma":0.009872782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003166986,"about_ca_topic_score_gemma":0.006715399,"domain_scores_codex":[0.9951763,0.0008999387,0.0002894133,0.0009384939,0.001779946,0.0009158044],"domain_scores_gemma":[0.9869153,0.001057888,0.0004470322,0.001417818,0.004127966,0.006033873],"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":[0.0001441034,0.0001907462,0.0004931074,0.0001938324,0.00001057145,0.00004673719,0.0002113002,0.0001143428,0.0006954221,0.009195589,0.8704205,0.1182838],"study_design_scores_gemma":[0.0000283214,0.0001114114,0.001610015,0.0002492603,0.000005767174,0.00008363605,0.0001538295,0.0003017209,0.0004282946,0.006848842,0.9901605,0.00001842836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02317791,0.09393023,0.05055756,0.1985568,0.1303098,0.001720505,0.01132737,0.01015321,0.4802666],"genre_scores_gemma":[0.04728541,0.0220447,0.02574943,0.006236376,0.0286764,0.0009587905,0.008343578,0.003277047,0.8574283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1578761,"threshold_uncertainty_score":0.5281482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491614640924501,"score_gpt":0.2815758594604154,"score_spread":0.2666597130511704,"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."}}