{"id":"W1828650523","doi":"10.1139/cjes-2014-0056","title":"Enhancing bonebed mapping with GIS technology using the Danek Bonebed (Upper Cretaceous Horseshoe Canyon Formation, Edmonton, Alberta, Canada) as a case study","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Canyon; Geology; Cretaceous; Horseshoe (symbol); Paleontology; Geomorphology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0005640672,0.0005177626,0.0002081411,0.004555219,0.0009944973,0.001815334,0.0006686341,0.0002790771,0.002756593],"category_scores_gemma":[0.001219925,0.0002666794,0.0002911931,0.006453729,0.0004987507,0.0005049264,0.001255874,0.0002342702,0.0004008038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561087,"about_ca_system_score_gemma":0.004215254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6391841,"about_ca_topic_score_gemma":0.8502213,"domain_scores_codex":[0.9996172,0.00006010181,0.00001467459,0.00004531949,0.0002090002,0.00005367553],"domain_scores_gemma":[0.9993258,0.0001658012,0.00003908738,0.00005851388,0.000341375,0.00006946985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003041129,0.0003713319,0.2101469,0.001140721,0.0001307493,0.004457477,0.02213839,0.1170841,0.03484756,0.01077833,0.01969972,0.5789005],"study_design_scores_gemma":[0.0001028374,0.000186413,0.4521252,0.0004392928,0.0002178507,0.001879049,0.04561049,0.2987799,0.01711032,0.00559248,0.1777217,0.0002343554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7900888,0.0006567995,0.1205964,0.0008582525,0.00005827609,0.001075044,0.01420131,0.003933307,0.06853174],"genre_scores_gemma":[0.6029656,0.0005131222,0.3857528,0.00003356444,0.000009330753,0.0002027033,0.004060447,0.00021822,0.00624422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3608159,"threshold_uncertainty_score":0.7258816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771467823910496,"score_gpt":0.2231752870026311,"score_spread":0.2054606087635261,"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."}}