{"id":"W6969331389","doi":"10.5683/sp3/vvxmmg","title":"Pakwash Lake Ontario. 1:50,000. Map Sheet 052K14, ed. 1, 1975","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Engineering and Test Systems","field":"Engineering","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); Geographic information system; Viewshed analysis","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":[0.000353733,0.001807834,0.001241178,0.00509402,0.001629475,0.002817763,0.001534176,0.0005341429,0.139206],"category_scores_gemma":[0.002344486,0.0009691908,0.0005404624,0.02340936,0.0004978623,0.00110172,0.001001852,0.0008074181,0.1075546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00954591,"about_ca_system_score_gemma":0.01673698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9075022,"about_ca_topic_score_gemma":0.9505234,"domain_scores_codex":[0.9994332,0.0000230085,0.00004661952,0.0001251019,0.0002311778,0.0001409706],"domain_scores_gemma":[0.9983692,0.000101545,0.0001423687,0.0001747303,0.001030814,0.0001814028],"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":[0.00001683947,0.000003904121,0.0008721171,0.0003040051,0.000008028924,0.00001429499,0.00004586609,0.00007621569,0.00004281621,0.0002154363,0.9949013,0.003499099],"study_design_scores_gemma":[0.00003584748,0.000003283925,0.01359475,0.0001460312,0.00001077744,0.00002068571,0.0001604804,0.000081932,0.00008871136,0.0001798789,0.9856628,0.00001477278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009827584,0.00005383978,0.00002216386,0.00002420781,0.000007903507,0.00000560896,0.9977503,0.00007335237,0.001964298],"genre_scores_gemma":[0.0006463279,0.0001708781,0.0001556976,0.0000168696,0.000004702646,0.00004519367,0.9930419,0.00006650786,0.005851888],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.139206,"threshold_uncertainty_score":0.4656904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00873301630839683,"score_gpt":0.2012883119953089,"score_spread":0.192555295686912,"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."}}