{"id":"W2605703804","doi":"","title":"Keystone rescue techniques","year":2004,"lang":"en","type":"article","venue":"National Conference on Artificial Intelligence","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Keystone species; Biology","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":[0.0005718529,0.001096449,0.0006929566,0.001659577,0.001419768,0.001495497,0.001588832,0.001245578,0.02093447],"category_scores_gemma":[0.0009821273,0.0003020669,0.0005621492,0.0008208393,0.000458621,0.002233086,0.002932694,0.001318833,0.009655998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004257021,"about_ca_system_score_gemma":0.000798744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347005,"about_ca_topic_score_gemma":0.002648875,"domain_scores_codex":[0.9994087,0.00005320052,0.00003933519,0.0001221003,0.0002942708,0.0000823677],"domain_scores_gemma":[0.9995273,0.00006471724,0.00003279319,0.0001519156,0.0001928819,0.00003036472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000320093,0.00009464187,0.001453854,0.0002592649,0.00007794775,0.0003183355,0.0002819574,0.009972964,0.05701163,0.01772783,0.04241858,0.8700629],"study_design_scores_gemma":[0.0001577251,0.0007324347,0.005439431,0.0003001469,0.0002031324,0.004973747,0.001076226,0.2566767,0.1403263,0.03582677,0.5541391,0.0001483442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04152353,0.004714368,0.8154823,0.001753613,0.002032707,0.0004165105,0.0007228944,0.007678007,0.1256761],"genre_scores_gemma":[0.3931856,0.004304568,0.3882995,0.0009439918,0.0003835158,0.0002497163,0.002617006,0.0006975231,0.2093186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02093447,"threshold_uncertainty_score":0.07003278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036347809003788,"score_gpt":0.3560180581750896,"score_spread":0.2523832772747108,"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."}}