{"id":"W2226731950","doi":"10.1002/meet.14505001103","title":"If I could read your mind: An exploration of online image searcher's behaviors","year":2013,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Computer science; Point (geometry); Information retrieval; Image retrieval; Image (mathematics); Process (computing); Psychology; World Wide Web; Artificial intelligence; Mathematics; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002888412,0.0003019699,0.000427682,0.001593758,0.001204788,0.001796235,0.0004877013,0.0009472129,0.002750626],"category_scores_gemma":[0.01978936,0.0002530531,0.0002413752,0.0006293347,0.0008839933,0.002270268,0.001137602,0.0008160115,0.0004823166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005954533,"about_ca_system_score_gemma":0.0004217198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003369564,"about_ca_topic_score_gemma":0.004979734,"domain_scores_codex":[0.9987769,0.0007674076,0.00007391113,0.00009861008,0.0001708079,0.0001123727],"domain_scores_gemma":[0.9804867,0.01557389,0.001866577,0.0003761407,0.0009797321,0.0007169604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0006834014,0.0006775039,0.168622,0.0004712417,0.0000486799,0.001999091,0.7740458,0.0001484917,0.01247449,0.0007020941,0.001460261,0.038667],"study_design_scores_gemma":[0.0000586525,0.001105404,0.2461443,0.0002573757,0.00007439587,0.002831842,0.7311951,0.003867838,0.003536516,0.0005665696,0.01022005,0.0001419379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982597,0.00009451296,0.0003373261,0.0001003119,0.000003330535,0.00002080261,0.00003519654,0.00001815623,0.001130658],"genre_scores_gemma":[0.9975427,0.0001325809,0.0008633324,0.00009906342,0.000006005977,0.0000359651,0.00005509494,0.00001599208,0.001249175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003369564,"threshold_uncertainty_score":0.01527554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03811287099258966,"score_gpt":0.3256465017320584,"score_spread":0.2875336307394687,"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."}}