{"id":"W2063777281","doi":"10.12968/sece.2004.10.317","title":"A marriage made in heaven","year":2004,"lang":"en","type":"article","venue":"SecEd","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":false,"ca_institutions":"Earl Haig Secondary School","funders":"","keywords":"Heaven; Deep Web; World Wide Web; History; Genealogy; Library science; The Internet; Computer science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001304448,0.00004788511,0.00007793954,0.00008479538,0.00002347739,0.00005257581,0.0004000531,0.0000224279,0.00001327086],"category_scores_gemma":[0.00002078389,0.00004409384,0.00002805277,0.0003695686,0.000008628856,0.0001700964,0.0001004389,0.00006188635,0.000141111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000289759,"about_ca_system_score_gemma":0.000034127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002174203,"about_ca_topic_score_gemma":0.00009714725,"domain_scores_codex":[0.9994817,0.00001775041,0.00008916712,0.0001796005,0.00008889577,0.0001428231],"domain_scores_gemma":[0.9995958,0.00001189991,0.00001819496,0.0003294996,0.000006768892,0.00003785593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004715866,0.001141871,0.02528048,0.0001114684,0.0002244299,0.001878132,0.02772737,0.01417266,0.1023153,0.4954622,0.009218289,0.3224207],"study_design_scores_gemma":[0.01861384,0.0009163354,0.3950734,0.0008664528,0.00008938435,0.0002394179,0.001635954,0.1558943,0.1076178,0.2564127,0.05850466,0.00413572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7945285,0.00009835869,0.1914476,0.005033935,0.0002046429,0.00007637937,0.000006080225,0.0002040996,0.008400372],"genre_scores_gemma":[0.9820849,0.000003186069,0.01736767,0.0002720798,0.00002583716,0.000002802255,0.000003894492,0.000002619772,0.0002369993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3697929,"threshold_uncertainty_score":0.1813744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009326711620309815,"score_gpt":0.2253153181779884,"score_spread":0.2159886065576786,"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."}}