{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006530337,0.004420743,0.00196495,0.003607562,0.001800483,0.002269135,0.004570188,0.002724569,0.02924459],"category_scores_gemma":[0.001831002,0.0006679712,0.002057048,0.005042236,0.0006734642,0.001454082,0.002124738,0.002326844,0.06027409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968333,"about_ca_system_score_gemma":0.002980486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131504,"about_ca_topic_score_gemma":0.2921304,"domain_scores_codex":[0.9986404,0.0001259725,0.00009063684,0.0003753577,0.0004719809,0.0002956895],"domain_scores_gemma":[0.9990165,0.0001101596,0.00004651931,0.0002861971,0.000425356,0.0001151234],"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":[0.0001592428,0.0001710761,0.002108432,0.0007217691,0.00008006821,0.0001445179,0.0000584377,0.00117405,0.001322243,0.0005854475,0.9765713,0.01690332],"study_design_scores_gemma":[0.0002036599,0.00007673326,0.01229253,0.0003735946,0.00007916147,0.0004581675,0.0004657564,0.004443749,0.004081972,0.001023779,0.9763904,0.000110369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003610855,0.0005660538,0.0006756543,0.0001514019,0.0001725893,0.0001137524,0.98749,0.002565061,0.004654544],"genre_scores_gemma":[0.001646769,0.0001089361,0.001020432,0.00004098255,0.000008597237,0.00006835291,0.9955739,0.0001009876,0.001431095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1131504,"threshold_uncertainty_score":0.2249836,"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."}}