{"id":"W6969468142","doi":"10.5683/sp3/j5bqu9","title":"Watchusk Lake Alberta / Saskatchewan. 1:50,000. Map Sheet 074D01, ed. 1, 1984","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; Aerial photography; Topographic map (neuroanatomy); Government (linguistics); 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":[0.0004886632,0.002147515,0.001304247,0.005864899,0.001303688,0.003021429,0.002216745,0.0006600221,0.1145919],"category_scores_gemma":[0.002018505,0.001046648,0.0005862561,0.02825722,0.0004049815,0.001030861,0.001035139,0.001200435,0.1001896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009474,"about_ca_system_score_gemma":0.02055708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9174154,"about_ca_topic_score_gemma":0.9538457,"domain_scores_codex":[0.9994117,0.00002955588,0.00004035816,0.0001288519,0.0002380054,0.0001515187],"domain_scores_gemma":[0.998142,0.00009014226,0.0001069422,0.0002075162,0.001257719,0.000195721],"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":[0.00002231306,0.000005026502,0.0008921276,0.0001871534,0.00001330557,0.00001424766,0.00002628319,0.0001380429,0.00004840142,0.0002572833,0.9941695,0.004226301],"study_design_scores_gemma":[0.00005443751,0.000003639233,0.01468689,0.0001704896,0.00001397964,0.00001973417,0.0002359312,0.0001698488,0.0001641615,0.0003785616,0.9840755,0.00002681833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001101246,0.00004539277,0.00003213232,0.00002361263,0.00001508751,0.00000599832,0.9975803,0.0001048356,0.002082594],"genre_scores_gemma":[0.0006238718,0.0001167747,0.0002463585,0.0000202452,0.000003293774,0.00003855069,0.9929143,0.00007586208,0.005960827],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1145919,"threshold_uncertainty_score":0.3833481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01137778613296516,"score_gpt":0.246357735401402,"score_spread":0.2349799492684368,"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."}}