{"id":"W6913160723","doi":"10.5683/sp3/0xiwmw","title":"Wapawekka Lake Saskatchewan. 1:50,000. Map Sheet 073I15, ed. 1, 1973","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":[0.0004501064,0.00195824,0.001208612,0.004352481,0.0009235906,0.002826625,0.00195403,0.000733863,0.1336379],"category_scores_gemma":[0.002507193,0.001064524,0.000738273,0.02315151,0.0003925225,0.001502533,0.001293093,0.001301783,0.1432208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005088475,"about_ca_system_score_gemma":0.01217473,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7028772,"about_ca_topic_score_gemma":0.8163197,"domain_scores_codex":[0.9994813,0.00003790149,0.00005798228,0.0001415738,0.0001411835,0.0001400367],"domain_scores_gemma":[0.9983972,0.000115503,0.0001199311,0.0002658439,0.0009556303,0.0001459061],"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":[0.00002183175,0.000004690233,0.0009534101,0.0002865953,0.00002162072,0.00001944099,0.00002908805,0.0001274334,0.00006677017,0.0002519226,0.9948244,0.003392931],"study_design_scores_gemma":[0.0000560146,0.000003273692,0.0125312,0.0002531426,0.00001536175,0.00002438465,0.0002178373,0.0001133109,0.0001527935,0.0004401803,0.9861642,0.00002839878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006418648,0.00002784778,0.00001861501,0.00001604971,0.000009590148,0.000003403878,0.9989268,0.00004945055,0.0008841555],"genre_scores_gemma":[0.0005244947,0.00009734252,0.0001388147,0.00002190995,0.000002402608,0.00004505446,0.9959366,0.00006491234,0.003168468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2971228,"threshold_uncertainty_score":0.5977452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01408093150521384,"score_gpt":0.2551035481058107,"score_spread":0.2410226166005969,"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."}}