{"id":"W3015864659","doi":"10.36227/techrxiv.12095505.v1","title":"Search Is Not Yet A Solved Problem","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Ask price; Computer science; Information retrieval; World Wide Web; Data science; Business","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":[0.008098417,0.0007597691,0.002882335,0.003363528,0.004428505,0.01229085,0.002669893,0.008316168,0.03875226],"category_scores_gemma":[0.04597766,0.0008961807,0.001434545,0.008006822,0.007473052,0.04341032,0.003706532,0.006466304,0.02565153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003392928,"about_ca_system_score_gemma":0.005459992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01612522,"about_ca_topic_score_gemma":0.01111989,"domain_scores_codex":[0.9915109,0.002772387,0.000648016,0.002215006,0.001716918,0.001136785],"domain_scores_gemma":[0.953466,0.03121145,0.001782593,0.00448624,0.007039601,0.002014146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001816249,0.0001054287,0.003612987,0.001958626,0.0002269194,0.0003346472,0.001705872,0.001350458,0.0004603987,0.3477878,0.4523185,0.1899567],"study_design_scores_gemma":[0.00004827028,0.00002647643,0.001336305,0.0007114369,0.00006185414,0.0008265565,0.003596794,0.002295575,0.0002708521,0.5642551,0.4264826,0.00008829694],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02260207,0.07535733,0.06080624,0.6085956,0.00565348,0.0001893723,0.006246461,0.0016401,0.2189094],"genre_scores_gemma":[0.5045793,0.08682238,0.07946167,0.1089513,0.01511105,0.0006279288,0.01342848,0.002913674,0.1881042],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03875226,"threshold_uncertainty_score":0.1296392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.191740149916113,"score_gpt":0.3274438649159637,"score_spread":0.1357037149998506,"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."}}