{"id":"W2091755654","doi":"10.1190/1.1885507","title":"Neural networks and AVO","year":2002,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Shell (Canada)","funders":"","keywords":"Artificial neural network; Computer science; Simple (philosophy); Perceptron; Interpreter; Artificial intelligence; Plot (graphics); Nonlinear system; Class (philosophy); Machine learning; Multilayer perceptron; Mathematics; Programming language","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":[0.001182525,0.0009250455,0.0007714402,0.0008605107,0.000576626,0.002266556,0.000952111,0.002479552,0.006131146],"category_scores_gemma":[0.004267803,0.0003524736,0.0005501424,0.001188002,0.002783447,0.003898609,0.001407398,0.002723731,0.001618219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007619802,"about_ca_system_score_gemma":0.0005852933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001882659,"about_ca_topic_score_gemma":0.001049452,"domain_scores_codex":[0.9992982,0.0002172599,0.00004594673,0.0001485648,0.0002284699,0.00006147766],"domain_scores_gemma":[0.9989808,0.0006735542,0.00008029148,0.00008487169,0.0001436224,0.00003685448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005627208,0.00002324573,0.0005474758,0.0004161637,0.00006513546,0.0001269115,0.0001722765,0.05893456,0.001888657,0.7331135,0.0106747,0.1939811],"study_design_scores_gemma":[0.00001102827,0.00003391932,0.0002973843,0.0001566476,0.00001537892,0.0001843195,0.00008265005,0.1193271,0.001016295,0.8196544,0.05919008,0.00003085027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004561148,0.04741342,0.8858045,0.005838834,0.001738329,0.00004266062,0.0001326651,0.000628833,0.05383976],"genre_scores_gemma":[0.3695909,0.07404712,0.4847297,0.0032999,0.005191392,0.0003129031,0.0005065482,0.0005630386,0.06175846],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006131146,"threshold_uncertainty_score":0.02051073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03292713202067288,"score_gpt":0.2523260583426212,"score_spread":0.2193989263219484,"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."}}