{"id":"W6894356405","doi":"10.5683/sp3/lwhfur","title":"Firebag Lake Saskatchewan. 1:50,000. Map Sheet 074F05, ed. 1, 1976","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; Natural (archaeology); Raster graphics; Topographic map (neuroanatomy); Aerial photography; Viewshed analysis; Orthophoto; Geographic information system","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":[0.000456696,0.002255393,0.001319781,0.004976682,0.001042041,0.003132759,0.002060524,0.0007906387,0.1931205],"category_scores_gemma":[0.002439603,0.001101309,0.0007170693,0.02577747,0.000408582,0.001543669,0.001185432,0.001319875,0.1962715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006193994,"about_ca_system_score_gemma":0.014259,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7513916,"about_ca_topic_score_gemma":0.8394966,"domain_scores_codex":[0.9994411,0.00003759993,0.00005681098,0.0001405979,0.0001722001,0.000151761],"domain_scores_gemma":[0.9981815,0.0001150463,0.0001110646,0.0002700438,0.001151959,0.000170509],"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":[0.00001816936,0.000003954402,0.0005670523,0.0001999321,0.00001267923,0.00001399553,0.00001852908,0.0001005697,0.00004708267,0.0001900424,0.9955359,0.003292192],"study_design_scores_gemma":[0.00005296447,0.000003264473,0.009091486,0.0002193769,0.00001092389,0.00001844099,0.0001711735,0.0001015774,0.0001501379,0.0003285437,0.9898267,0.00002534834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005279018,0.00002729657,0.00001990914,0.00001625756,0.00001357948,0.000004362905,0.9985539,0.00007731001,0.001234589],"genre_scores_gemma":[0.0003979648,0.0001092774,0.0001526493,0.00002510238,0.000003265111,0.00004326606,0.9941147,0.0000840998,0.005069684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2486084,"threshold_uncertainty_score":0.6460524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385873499214908,"score_gpt":0.2546079430496214,"score_spread":0.2407492080574723,"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."}}