{"id":"W6894392394","doi":"10.5683/sp3/rr3zaa","title":"Raven Creek (East) Alberta. 1:50,000. Map Sheet 083F01, ed. 1, 1959","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Aerial photography; Natural (archaeology); Topographic map (neuroanatomy); Raster graphics; Orthophoto; Digital mapping","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000522901,0.001817587,0.001203133,0.005050129,0.001414388,0.003636916,0.002180862,0.0006147189,0.0956114],"category_scores_gemma":[0.001840833,0.0008337335,0.0006154915,0.01911967,0.0004509337,0.0009492098,0.0009251243,0.001228,0.08552015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006729498,"about_ca_system_score_gemma":0.01353715,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.899124,"about_ca_topic_score_gemma":0.941523,"domain_scores_codex":[0.9993206,0.00002849128,0.00003775864,0.0001673751,0.0002966555,0.0001491146],"domain_scores_gemma":[0.9986582,0.00007393026,0.00009901779,0.0001582206,0.0008640625,0.0001465782],"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":[0.00002252925,0.000005158425,0.0009053021,0.0001958483,0.00001099395,0.0000162329,0.00003595062,0.0001288394,0.00004734632,0.00032362,0.9933559,0.004952303],"study_design_scores_gemma":[0.00003813679,0.00000373559,0.01338241,0.000156126,0.00001161635,0.00002890079,0.0001705442,0.0001338175,0.0001137869,0.0003656615,0.9855745,0.00002072198],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001442868,0.0001226058,0.00004821038,0.00002969818,0.00002459866,0.000007092981,0.9961721,0.0001973166,0.003254005],"genre_scores_gemma":[0.0008684565,0.0001701445,0.0003587577,0.0000252124,0.000007331023,0.0000217029,0.9924256,0.0001161308,0.006006786],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.100876,"threshold_uncertainty_score":0.319852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598205755491206,"score_gpt":0.2561419766681061,"score_spread":0.240159919113194,"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."}}