{"id":"W2096296071","doi":"10.1002/meet.2014.14505101021","title":"Searching as learning: Novel measures for information interaction research","year":2014,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Context (archaeology); Outcome (game theory); Focus (optics); Computer science; Psychology; Data science","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":[0.02331332,0.0010535,0.001172191,0.01025877,0.001672389,0.008305455,0.001688243,0.001699681,0.007393391],"category_scores_gemma":[0.1258104,0.0005563802,0.001468801,0.009960216,0.006086207,0.01341802,0.00512264,0.00253108,0.000842166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052158,"about_ca_system_score_gemma":0.001234577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294142,"about_ca_topic_score_gemma":0.001040093,"domain_scores_codex":[0.9723789,0.02085129,0.001596697,0.002060805,0.002672525,0.0004396332],"domain_scores_gemma":[0.8042024,0.1667087,0.01158539,0.01002548,0.00488947,0.002588453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009003809,0.00138486,0.1436394,0.002470553,0.0007885337,0.000298269,0.03292252,0.008533596,0.004086566,0.5099279,0.008537559,0.2865098],"study_design_scores_gemma":[0.0002882195,0.002685982,0.148807,0.0009202131,0.0007436356,0.0007624815,0.02321249,0.1637869,0.003251754,0.6182962,0.03670062,0.0005444024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3718492,0.00444171,0.5349255,0.003397532,0.0004662547,0.003610711,0.003068867,0.001188381,0.07705188],"genre_scores_gemma":[0.8132405,0.0006748658,0.1790631,0.0002665635,0.0001860915,0.003859191,0.0007471483,0.0001679325,0.001794597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02331332,"threshold_uncertainty_score":0.1232941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03832970841132488,"score_gpt":0.3452638541912317,"score_spread":0.3069341457799068,"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."}}