{"id":"W6931785259","doi":"10.5683/sp2/xptnlk","title":"Piggery -- Bar U Ranch -- Longview -- Laser Scanning -- 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":"Laser scanning; Bar (unit); Laser; Data set; Cultural heritage","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":[0.0007630872,0.002558531,0.001199926,0.002288759,0.0009648716,0.001830475,0.002799111,0.001853067,0.01923877],"category_scores_gemma":[0.001635859,0.0006475495,0.001077109,0.0041942,0.0006822496,0.001000528,0.001683595,0.001425937,0.05426591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488667,"about_ca_system_score_gemma":0.002503936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08482529,"about_ca_topic_score_gemma":0.2067688,"domain_scores_codex":[0.9991098,0.00007690304,0.00004357815,0.0002783636,0.0003160171,0.0001752786],"domain_scores_gemma":[0.9993024,0.00007824158,0.00005264331,0.0002013737,0.0002857856,0.00007958793],"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":[0.0001476889,0.00005441958,0.002541501,0.0004506791,0.00005341792,0.00008274619,0.00008197613,0.0007212535,0.001184422,0.0004554306,0.9837475,0.01047894],"study_design_scores_gemma":[0.00009084665,0.00004080982,0.0156063,0.0002127962,0.00003714675,0.0001711764,0.0002688149,0.001482802,0.002417621,0.0009516022,0.9786549,0.00006509976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001490734,0.0002148493,0.0004404021,0.0000780362,0.00006353828,0.00002944807,0.992413,0.003099896,0.002170059],"genre_scores_gemma":[0.001033905,0.0000456268,0.0006040988,0.00002268089,0.000006019755,0.00002822292,0.9975064,0.0001253503,0.0006277283],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08482529,"threshold_uncertainty_score":0.1686631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02336028183975473,"score_gpt":0.2746217660166522,"score_spread":0.2512614841768975,"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."}}