{"id":"W6969223155","doi":"10.5683/sp2/ajlj91","title":"Synthetic Contour Fragments","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rotation (mathematics); Square (algebra); Pattern recognition (psychology); Square tiling; Orientation (vector space); Set (abstract data type); Grid; Gabor filter","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":[0.0006207449,0.002891008,0.001163731,0.001873123,0.0006150251,0.001166448,0.002399485,0.001936523,0.01433868],"category_scores_gemma":[0.002329609,0.0004852407,0.001741389,0.001875585,0.0005206128,0.000860639,0.001071425,0.001373763,0.01528013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111594,"about_ca_system_score_gemma":0.0006689981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01282351,"about_ca_topic_score_gemma":0.02771584,"domain_scores_codex":[0.9991678,0.00009684375,0.00006292044,0.0002297747,0.0003187548,0.0001240173],"domain_scores_gemma":[0.9991672,0.0001736362,0.00005222632,0.0002603257,0.0002676808,0.00007906384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00160332,0.0006662488,0.004071561,0.002289972,0.000271593,0.0007908103,0.0001185369,0.01217516,0.01147907,0.001537397,0.7896581,0.1753382],"study_design_scores_gemma":[0.0007319069,0.0008752498,0.04241369,0.0008119934,0.0002811604,0.004645483,0.0006015681,0.1140817,0.02736824,0.004398374,0.8035196,0.0002710055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07887091,0.007068483,0.02100251,0.0008277275,0.001520917,0.0009995995,0.8451864,0.01889858,0.02562486],"genre_scores_gemma":[0.05203168,0.0007167617,0.01737748,0.0002456396,0.00007294449,0.0003838143,0.9221876,0.0004878683,0.006496126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01433868,"threshold_uncertainty_score":0.04796761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230270918114072,"score_gpt":0.2728172132640683,"score_spread":0.2497901214526611,"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."}}