{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003191046,0.0001440293,0.0001176294,0.000212649,0.0002493033,0.0001909141,0.0007994949,0.00009999752,0.0001099944],"category_scores_gemma":[0.0001002847,0.0001419271,0.00006572117,0.0005918137,0.0001086462,0.0003101845,0.00009744128,0.0002256491,0.0005892319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636903,"about_ca_system_score_gemma":0.0002538514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006372756,"about_ca_topic_score_gemma":0.00003663213,"domain_scores_codex":[0.9984673,0.00002784156,0.0003372942,0.0004328618,0.0005296239,0.0002050366],"domain_scores_gemma":[0.9988904,0.00004099384,0.00008436984,0.0003441363,0.0005535241,0.00008657542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004247041,0.00008646074,8.394709e-7,0.000001239945,0.000002418617,0.000001379311,0.00004994649,0.0003020706,0.003752758,0.8990808,0.0000642884,0.09665362],"study_design_scores_gemma":[0.000009645849,0.0001053296,0.00003765097,0.00001846055,9.261786e-7,0.00000709154,0.00002080635,0.007784896,0.353709,0.6366261,0.0015361,0.0001440015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00102057,0.000007001769,0.9583215,0.006407953,0.00008679027,0.0002321088,0.000005066233,0.0006283714,0.03329064],"genre_scores_gemma":[0.9229295,0.00002505604,0.07585459,0.0007292086,0.0000969701,0.0001321355,0.000003877981,0.000007445595,0.0002211705],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.921909,"threshold_uncertainty_score":0.757358,"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."}}