{"id":"W3093686778","doi":"","title":"Automatic Detection of Galaxy Groups by Probabilistic Hough Transform","year":2015,"lang":"en","type":"article","venue":"International Conference on Neural Information Processing","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Hough transform; Probabilistic logic; Computer science; Artificial intelligence; Galaxy; Pattern recognition (psychology); Computer vision; Image (mathematics); Astronomy; Physics","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":[0.0005138117,0.0007813192,0.0008404019,0.003167615,0.0005904076,0.001097264,0.001485502,0.001103385,0.00247541],"category_scores_gemma":[0.001227442,0.0006676256,0.0008638045,0.001869404,0.0005410134,0.001081567,0.001581008,0.0008468868,0.001913534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003071802,"about_ca_system_score_gemma":0.0005664685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991983,"about_ca_topic_score_gemma":0.002810523,"domain_scores_codex":[0.9994185,0.00009201174,0.00001417066,0.000123159,0.0002405929,0.0001116347],"domain_scores_gemma":[0.9993444,0.000131058,0.00008051389,0.0001732878,0.0001913229,0.00007933832],"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":[0.0008415261,0.0001829328,0.01381369,0.0002261343,0.0001832389,0.0003922737,0.0003507214,0.01998306,0.2838815,0.007905146,0.00675655,0.6654834],"study_design_scores_gemma":[0.0001058041,0.0001855287,0.02430088,0.00002954693,0.0001249481,0.001039137,0.0002290549,0.8224123,0.1268313,0.01390012,0.01075747,0.00008384424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1063605,0.000520673,0.8859499,0.0001982713,0.00006210827,0.00008887949,0.0002479136,0.003757414,0.002814348],"genre_scores_gemma":[0.5036166,0.0002655012,0.4924299,0.00007622447,0.00004933108,0.00006356196,0.0008117934,0.0003463377,0.002340712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003167615,"threshold_uncertainty_score":0.008281052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0322534423273025,"score_gpt":0.2807017581502167,"score_spread":0.2484483158229142,"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."}}