{"id":"W6931946479","doi":"10.5683/sp3/4m9qcu","title":"Jarvis River (East) Ontario. 1:50,000. Map Sheet 052A03, ed. 2, 1961","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Topographic map (neuroanatomy); Natural (archaeology); Aerial photography; Raster graphics; Viewshed analysis; 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":[0.0004439781,0.0016442,0.001267483,0.004456763,0.001601765,0.003231744,0.001615706,0.000553256,0.1327989],"category_scores_gemma":[0.002607687,0.0009645554,0.0006456536,0.01884319,0.0005137324,0.001237624,0.001146149,0.0009598547,0.1075053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008893142,"about_ca_system_score_gemma":0.01766702,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9023405,"about_ca_topic_score_gemma":0.9527385,"domain_scores_codex":[0.9992287,0.00003379158,0.00005700413,0.0001946694,0.000316953,0.000168849],"domain_scores_gemma":[0.9981939,0.0001072193,0.000166171,0.0002377304,0.00110642,0.0001886404],"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":[0.00001909438,0.000003092567,0.0008036954,0.0003183432,0.000009527885,0.0000134884,0.00005722098,0.00006371784,0.0000436549,0.0002829961,0.9948056,0.00357949],"study_design_scores_gemma":[0.0000220847,0.000002120195,0.008311407,0.0001276698,0.00000717029,0.00001711742,0.0001183595,0.00004274047,0.00006501078,0.0001427954,0.9911317,0.00001178051],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000889295,0.0000771187,0.00003309096,0.00003052221,0.00001516673,0.000006251028,0.9966398,0.0001174169,0.00299163],"genre_scores_gemma":[0.0008723023,0.0002132892,0.0002697365,0.00002486905,0.00000747742,0.00004328934,0.9898971,0.0001483655,0.008523595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1327989,"threshold_uncertainty_score":0.4442564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748522018658389,"score_gpt":0.2477792331582135,"score_spread":0.2302940129716296,"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."}}