{"id":"W6969161636","doi":"10.5683/sp2/ghrmll","title":"Community House -- Herschel Island -- Laser Scanning -- Metadata -- 2018/19","year":2021,"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; Metadata; Scanner; Laser","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":[0.001046698,0.003083123,0.001571489,0.00345797,0.001239088,0.002244836,0.003265569,0.001893832,0.03521279],"category_scores_gemma":[0.00281633,0.0007287969,0.001180512,0.005153603,0.0007538918,0.001605162,0.002739211,0.001610161,0.09707532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753113,"about_ca_system_score_gemma":0.002597614,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0688704,"about_ca_topic_score_gemma":0.1852639,"domain_scores_codex":[0.9985111,0.0001583104,0.0001053856,0.0004602995,0.0004796108,0.0002853048],"domain_scores_gemma":[0.9984998,0.0001662955,0.0001155494,0.0004918219,0.0005309476,0.000195553],"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":[0.0000733239,0.00003537518,0.001627494,0.000416532,0.00003031576,0.00004902069,0.00006685762,0.0003043461,0.0005250548,0.0003581401,0.9900046,0.006508966],"study_design_scores_gemma":[0.00005005852,0.00001618232,0.00766474,0.0001960274,0.00002348611,0.0001136257,0.0001948461,0.0006138667,0.001319733,0.0007170524,0.9890343,0.00005611165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006200624,0.0001299591,0.000283071,0.00005644443,0.00006359965,0.00002262641,0.9951741,0.001779494,0.001870634],"genre_scores_gemma":[0.0004745803,0.00003156318,0.0004664186,0.00001740951,0.000005744804,0.00003190869,0.9981938,0.0001468302,0.0006316261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9311296,"threshold_uncertainty_score":0.136939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398212436378955,"score_gpt":0.3033584159356639,"score_spread":0.2493762915718743,"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."}}