{"id":"W2403641953","doi":"","title":"Fuzzy Cognitive Map Reconstruction - Methodologies and Experiments","year":2018,"lang":"en","type":"article","venue":"International Conference on Agents and Artificial Intelligence","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fuzzy cognitive map; Computer science; Artificial intelligence; Fuzzy logic; Fuzzy set; Fuzzy classification","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":[0.002663731,0.0007496796,0.0006836629,0.001304468,0.0009386677,0.001371055,0.001391698,0.0009395598,0.007402425],"category_scores_gemma":[0.01429287,0.0003358795,0.0005177406,0.001422167,0.0007699736,0.002217268,0.001156133,0.0008216481,0.0006354011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009146603,"about_ca_system_score_gemma":0.0009426694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01580231,"about_ca_topic_score_gemma":0.004987695,"domain_scores_codex":[0.9986662,0.0006822691,0.00007337568,0.000154669,0.0003163501,0.0001072496],"domain_scores_gemma":[0.9919666,0.005002729,0.000167682,0.001209479,0.00149463,0.00015899],"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":[0.006717586,0.004070896,0.006749734,0.001310532,0.0003104833,0.0002775438,0.002654751,0.3367862,0.02964936,0.03201598,0.004069563,0.5753874],"study_design_scores_gemma":[0.0001855593,0.0007547308,0.002284196,0.00005941096,0.0001149762,0.0001479635,0.0008033815,0.944127,0.03951033,0.009424168,0.002528402,0.00005984524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6626209,0.001120179,0.3151803,0.0003049771,0.0001578014,0.0006420626,0.0005925682,0.001187799,0.01819339],"genre_scores_gemma":[0.8632379,0.0003531075,0.1332221,0.00003170058,0.00001247553,0.0001003597,0.0003985606,0.0001402759,0.002503554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01580231,"threshold_uncertainty_score":0.03142065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3360642799942167,"score_gpt":0.4299882092378313,"score_spread":0.09392392924361459,"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."}}