{"id":"W4297616741","doi":"10.48550/arxiv.1412.6567","title":"Classifier with Hierarchical Topographical Maps as Internal\\n Representation","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Classifier (UML); Computer science; Artificial intelligence; Representation (politics); Deep learning; Architecture; Machine learning; Geography","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":[0.0004776619,0.0004843373,0.0004883887,0.0006429303,0.0002816273,0.001184658,0.001295118,0.001032116,0.003126064],"category_scores_gemma":[0.001666576,0.0001961091,0.0006003061,0.0007622866,0.0004154997,0.001931501,0.001201599,0.001211923,0.001128316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006204853,"about_ca_system_score_gemma":0.0007114602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781004,"about_ca_topic_score_gemma":0.005042353,"domain_scores_codex":[0.9997215,0.00004652906,0.00001287905,0.00008253166,0.00008030343,0.0000562021],"domain_scores_gemma":[0.9996313,0.0001092889,0.00003543866,0.00009621796,0.00009697742,0.00003083175],"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":[0.0003272204,0.0002043773,0.004325214,0.0002428847,0.0001301548,0.0002290671,0.0001578929,0.2379122,0.02227618,0.06313341,0.01933049,0.651731],"study_design_scores_gemma":[0.00001150842,0.0000426404,0.0006049972,0.00001522606,0.00002244811,0.00005352816,0.00002891188,0.9715039,0.00411336,0.02066458,0.002928417,0.00001054209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06290621,0.000874244,0.9235976,0.0009529073,0.0002495517,0.00010689,0.0007861832,0.002629765,0.007896502],"genre_scores_gemma":[0.7928249,0.0004820584,0.1946702,0.000504384,0.0001637978,0.0001321781,0.001489568,0.000135028,0.009597893],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003781004,"threshold_uncertainty_score":0.01045769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05472053596853103,"score_gpt":0.2057596956385731,"score_spread":0.1510391596700421,"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."}}