{"id":"W2011364352","doi":"10.1145/1370256.1370278","title":"An enhanced web robot for the CINDI system","year":2008,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Web crawler; Computer science; Digging; Software; Field (mathematics); Robot; Web application; World Wide Web; Artificial intelligence; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006169733,0.001082673,0.0007952164,0.0009119901,0.0005051072,0.0008929779,0.002581732,0.0008794101,0.02066954],"category_scores_gemma":[0.001590159,0.0006217966,0.0004204094,0.0005112783,0.0003204382,0.001211352,0.001415415,0.0009357112,0.005683166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006813403,"about_ca_system_score_gemma":0.001173475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003315424,"about_ca_topic_score_gemma":0.003058367,"domain_scores_codex":[0.9990171,0.00007560042,0.00006721002,0.0002236705,0.0005154852,0.000101019],"domain_scores_gemma":[0.998795,0.0002534074,0.00007575624,0.0002786713,0.0004455916,0.0001515868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002293045,0.0008289696,0.006308818,0.001773708,0.0001307724,0.001730531,0.0005428211,0.01070006,0.3374836,0.007683313,0.08859408,0.5419303],"study_design_scores_gemma":[0.0004802242,0.001898751,0.01576677,0.0002132257,0.0002422173,0.004470423,0.0001868563,0.2710506,0.2314715,0.001549646,0.4722656,0.0004040979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05985952,0.000950364,0.749035,0.0007445349,0.0009912417,0.003177614,0.00274783,0.1386578,0.04383608],"genre_scores_gemma":[0.2648307,0.0004216649,0.6559625,0.00113095,0.0001375319,0.002025628,0.004352207,0.002576274,0.06856252],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02066954,"threshold_uncertainty_score":0.06914651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620337048057695,"score_gpt":0.2520494850366246,"score_spread":0.2258461145560477,"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."}}