{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005114991,0.0005114187,0.0008781408,0.001880526,0.01102325,0.01031987,0.0008960278,0.003862437,0.02394058],"category_scores_gemma":[0.01138346,0.0004690963,0.0005131921,0.002150835,0.01633218,0.01206096,0.00998944,0.01188259,0.006796872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002437613,"about_ca_system_score_gemma":0.002650169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004019352,"about_ca_topic_score_gemma":0.008165944,"domain_scores_codex":[0.9973729,0.0008850869,0.0001026794,0.0005338513,0.0007442248,0.0003612849],"domain_scores_gemma":[0.99534,0.0008958776,0.0001884314,0.00121697,0.001093198,0.00126556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002315318,0.00005179423,0.0015072,0.00007743653,0.00003794522,0.0004363644,0.01318535,0.00008686087,0.0004496806,0.6893045,0.2428358,0.05179558],"study_design_scores_gemma":[0.00001374981,0.00002962552,0.0004654857,0.0001205142,0.00000630088,0.0001842241,0.004138384,0.00008192541,0.0001942549,0.07205238,0.9226913,0.00002192901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03656866,0.02571334,0.01716246,0.503987,0.07167819,0.00006748536,0.0006613783,0.0007203726,0.3434411],"genre_scores_gemma":[0.2925638,0.007107,0.01355268,0.1101831,0.01017784,0.0000590376,0.0003420509,0.001096286,0.5649183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02394058,"threshold_uncertainty_score":0.08008915,"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."}}