{"id":"W6963852762","doi":"10.25545/gpfjgq","title":"Roof Types Dataset","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Roof; Set (abstract data type); Elevation (ballistics); Training set; Test set; RGB color model","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005463099,0.0007839474,0.0006416599,0.0007378531,0.0001098211,0.00035063,0.002308592,0.0005322799,0.05867769],"category_scores_gemma":[0.0003894437,0.0007376422,0.000141616,0.0007082073,0.0002351867,0.0004939009,0.002240474,0.001291663,0.974803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255309,"about_ca_system_score_gemma":0.0003487734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00114249,"about_ca_topic_score_gemma":0.002230675,"domain_scores_codex":[0.9963696,0.0001399831,0.0005342814,0.001381111,0.0008554647,0.0007195658],"domain_scores_gemma":[0.9941767,0.0001161648,0.0002376575,0.005108215,0.00005704504,0.0003041524],"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":[0.0000450106,0.0001173923,4.008912e-7,0.0004182468,0.0003311246,0.001434764,0.000009079462,0.0000056406,0.00001213492,0.00002827723,0.9975116,0.00008638947],"study_design_scores_gemma":[0.0003187257,0.00004913409,0.000001071038,0.0002355403,0.001106981,0.00008034275,0.00003242984,0.00002514352,0.00001381132,0.00007465358,0.9972568,0.0008053583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000109997,0.00008816009,6.186006e-7,0.00001989878,0.002098254,0.0003926181,0.9967639,0.0002907192,0.0003447733],"genre_scores_gemma":[4.137485e-7,0.000263145,0.0001163331,0.0004186913,0.0009195897,0.00003171677,0.9974162,0.00020171,0.0006322086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9161254,"threshold_uncertainty_score":0.9995075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163331042472808,"score_gpt":0.292689178635568,"score_spread":0.2710558682108399,"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."}}