{"id":"W6969823663","doi":"10.5683/sp2/wtcke3","title":"Piggery -- Bar U Ranch -- Longview -- Laser Scanning -- Metadata -- 2020","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; Laser scanning; Data set; Bar (unit); Cultural heritage; Set (abstract data type)","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":[0.0007850007,0.002195738,0.001116844,0.002753897,0.0009612884,0.001977236,0.002512808,0.001733323,0.02728267],"category_scores_gemma":[0.002079771,0.0006964901,0.0009796246,0.004909753,0.0006798179,0.001247305,0.002145647,0.001347579,0.06486012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508373,"about_ca_system_score_gemma":0.0026617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07964166,"about_ca_topic_score_gemma":0.1988785,"domain_scores_codex":[0.9991217,0.00007310636,0.00005030074,0.0002536204,0.0003248696,0.0001763607],"domain_scores_gemma":[0.9990381,0.0001129192,0.00008364677,0.0002737973,0.0003853638,0.0001062165],"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":[0.0001305528,0.00003742826,0.002667481,0.0005393655,0.0000426827,0.00007902788,0.00009718889,0.0005938164,0.001200338,0.0006282879,0.9832873,0.0106965],"study_design_scores_gemma":[0.00005233739,0.00002410335,0.01114933,0.0002117896,0.0000246589,0.0001201711,0.0002180633,0.000732307,0.001836868,0.0008956208,0.9846806,0.00005427244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006894998,0.0001387236,0.0003751765,0.00005381025,0.00004429761,0.00001983804,0.9944794,0.002484185,0.001715033],"genre_scores_gemma":[0.0007415048,0.00004546205,0.0005892469,0.00001926977,0.000004535247,0.00002587106,0.9978678,0.0001482844,0.000558003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9203584,"threshold_uncertainty_score":0.1583561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207760422028684,"score_gpt":0.283345454878032,"score_spread":0.2512678506577452,"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."}}