{"id":"W2899041958","doi":"10.48550/arxiv.1811.01370","title":"Math in the Black Forest: Workshop on New Directions in Shape Analysis","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Shape analysis (program analysis); Geometric analysis; Geography; Mathematics education; Data science; Geometry; Mathematics; Computer science; Static analysis; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000481361,0.0002305427,0.0003851657,0.0006960554,0.00007641779,0.00005835506,0.0006434413,0.0003245233,0.0003142348],"category_scores_gemma":[0.0002615842,0.0001833781,0.0002913208,0.002468733,0.00008207691,0.00005694398,0.0003217961,0.0006846731,0.00008687327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001743103,"about_ca_system_score_gemma":0.00005715242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003789611,"about_ca_topic_score_gemma":0.003001953,"domain_scores_codex":[0.9985726,0.0002131759,0.0002497553,0.0006028584,0.00008981906,0.0002717281],"domain_scores_gemma":[0.9981553,0.0007034017,0.0001900159,0.0008385117,0.00004004804,0.00007273609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007272315,0.0009127001,0.07149058,0.00004844317,0.0004640052,0.0003008302,0.0006825277,0.113774,6.411402e-7,0.8063294,0.005402138,0.0005220775],"study_design_scores_gemma":[0.0006370522,0.00004862604,0.2202543,0.0001619262,0.000892513,0.000001289065,0.0007485905,0.3209433,0.000001604336,0.4545795,0.001229594,0.0005016202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490833,0.00001281995,0.03423749,0.0002712343,0.0001064653,0.0004066546,0.0000169125,0.00005879658,0.01580638],"genre_scores_gemma":[0.9956805,0.0001202358,0.0008885917,0.0001197393,0.00009569799,0.000002755575,0.00002087778,0.00001293037,0.003058742],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3517498,"threshold_uncertainty_score":0.7477942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397242936686605,"score_gpt":0.2475294481529858,"score_spread":0.1078051544843253,"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."}}