{"id":"W3190672030","doi":"","title":"Imager's Corner: Multi-mask Stretching","year":2014,"lang":"en","type":"article","venue":"Journal of the Royal Astronomical Society of Canada","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geology; Computer science; Computer vision; Artificial intelligence; Optics; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002074428,0.00008703968,0.0002317547,0.000007887581,0.00004317986,0.000004806135,0.0003378776,0.00007443506,0.00003190831],"category_scores_gemma":[0.00005033258,0.00006045797,0.0002280738,0.000035774,0.00009439931,0.00002674251,0.00004834525,0.0004802355,3.806882e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001930246,"about_ca_system_score_gemma":0.0001818427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894784,"about_ca_topic_score_gemma":0.003383616,"domain_scores_codex":[0.9992415,0.00002070093,0.0003106455,0.00005057204,0.0001766671,0.0001998612],"domain_scores_gemma":[0.9995398,0.00006905125,0.0001293629,0.0001111117,0.00002802604,0.000122663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002894505,0.00009065441,0.01451161,0.000129714,0.0007973825,0.000002247181,0.0002661422,0.5867736,0.001275168,0.0005715871,0.3139333,0.08161963],"study_design_scores_gemma":[0.001488915,0.00008864646,0.02332504,0.0001188587,0.00007943424,0.000005973772,0.0005723663,0.8224926,0.007754791,0.000270137,0.1435605,0.0002428045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849412,0.0002174939,0.01257973,0.001384177,0.0005972065,0.00003361493,0.000004655837,0.00001441903,0.0002274523],"genre_scores_gemma":[0.9922605,0.000003771272,0.007404536,0.00009154424,0.000145024,3.362351e-7,1.979048e-7,0.000009806077,0.00008434863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2357189,"threshold_uncertainty_score":0.5887774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002515644406753681,"score_gpt":0.1582957823173393,"score_spread":0.1557801379105856,"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."}}