{"id":"W4239381793","doi":"10.1002/asi.21321","title":"Constructing business profiles based on keyword patterns on Web sites","year":2010,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Web visibility and informetrics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"China National Offshore Oil Corporation","keywords":"Hyperlink; Computer science; Construct (python library); World Wide Web; Correctness; Link analysis; Web page; Product (mathematics); Sample (material); Web site; The Internet; Content analysis; Information retrieval; Mathematics","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":[0.002673216,0.0003895299,0.0004564649,0.009088949,0.0006037134,0.002072322,0.0004813528,0.0004525878,0.0007714796],"category_scores_gemma":[0.02683273,0.0003552435,0.000396624,0.005502329,0.0003263234,0.0034706,0.001076355,0.0004961279,0.0007366854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007588638,"about_ca_system_score_gemma":0.0008681254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002888996,"about_ca_topic_score_gemma":0.004050306,"domain_scores_codex":[0.9973882,0.001121583,0.0003632196,0.0003626646,0.0006113746,0.000153002],"domain_scores_gemma":[0.9729978,0.01487535,0.004409027,0.002375091,0.004622263,0.0007205307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000541913,0.0003956814,0.6725819,0.0005467969,0.0001440513,0.0003972521,0.007500255,0.004527173,0.01290391,0.004433034,0.001685663,0.2943425],"study_design_scores_gemma":[0.00008013531,0.0005739246,0.6832286,0.0004232751,0.0002368928,0.00146583,0.01776345,0.2336544,0.03038452,0.01750006,0.01449317,0.0001957248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304222,0.0001352944,0.06239307,0.0001786898,0.00001421316,0.000543014,0.001774118,0.0003602539,0.004179033],"genre_scores_gemma":[0.9299732,0.0001011814,0.06746417,0.00001988837,0.00001168643,0.0002190061,0.001673485,0.00002370229,0.0005137815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009088949,"threshold_uncertainty_score":0.01413745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176611643276612,"score_gpt":0.2586565937493875,"score_spread":0.2468904773166214,"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."}}