{"id":"W6913073183","doi":"10.5683/sp3/wvcjq5","title":"RCMP Dog Kennels and Runs -- Herschel Island -- Laser Scanning -- 2019","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; Point cloud; Laser; Point (geometry); Video recording","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":[0.0007976271,0.003904886,0.001932238,0.003055593,0.00108445,0.002032608,0.003762667,0.002235627,0.02586197],"category_scores_gemma":[0.002069869,0.0007734623,0.001565304,0.004637422,0.0007141856,0.001347154,0.002220948,0.001823187,0.07293554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407332,"about_ca_system_score_gemma":0.001859591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06565708,"about_ca_topic_score_gemma":0.1749339,"domain_scores_codex":[0.9986481,0.0001056617,0.00007950512,0.000430654,0.0004788187,0.0002572475],"domain_scores_gemma":[0.9990028,0.0001047135,0.00008268125,0.0003498463,0.0003349147,0.0001251778],"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":[0.0000981648,0.00004725949,0.001526415,0.000440319,0.00005081264,0.00005863142,0.00004609768,0.000561181,0.0005304946,0.0002787107,0.990178,0.006183771],"study_design_scores_gemma":[0.0001342193,0.00003477053,0.01269294,0.0002682581,0.00004877462,0.0002370874,0.0002070755,0.001841071,0.001941783,0.001070434,0.9814371,0.00008647152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006728536,0.0001458822,0.0002904749,0.00005259948,0.00006126007,0.00002360399,0.9948311,0.002481075,0.001441118],"genre_scores_gemma":[0.0006630186,0.00003671661,0.0005593112,0.00001893262,0.000006662289,0.00002590824,0.9981097,0.0001457038,0.0004339809],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9343429,"threshold_uncertainty_score":0.1305498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01542585514949098,"score_gpt":0.2716035196509119,"score_spread":0.2561776645014209,"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."}}