{"id":"W6969483451","doi":"10.5683/sp3/cehrrk","title":"Little Current (West) Ontario. 1:50,000. Map Sheet 041H13, ed. 1, 1955","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; Raster graphics; Natural (archaeology); Government (linguistics); Aerial photography; Digital mapping; 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":[0.000400352,0.001627393,0.001195654,0.004773722,0.00166821,0.002997479,0.001655367,0.0005567099,0.148988],"category_scores_gemma":[0.002518679,0.0009415451,0.0006650038,0.0188953,0.0005980275,0.001221023,0.00105213,0.0009207517,0.1018773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149961,"about_ca_system_score_gemma":0.01956249,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9337059,"about_ca_topic_score_gemma":0.9676362,"domain_scores_codex":[0.999369,0.00002454996,0.00004732042,0.0001455936,0.0002515839,0.0001619438],"domain_scores_gemma":[0.9981707,0.00009425214,0.0001677088,0.0001939083,0.001158737,0.0002146822],"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":[0.0000186313,0.000003305,0.0009140793,0.0002991262,0.000008280449,0.00001217658,0.00005474205,0.00005863159,0.00003983073,0.000260244,0.9951891,0.003141917],"study_design_scores_gemma":[0.00002870257,0.000002730373,0.01187352,0.0001593676,0.000009509692,0.00001968938,0.0001510187,0.00005358149,0.00007365392,0.0001444902,0.9874707,0.00001309199],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001054928,0.00009468904,0.00002773373,0.00003508628,0.00001748367,0.000007664179,0.9965836,0.00009783605,0.003030484],"genre_scores_gemma":[0.001219167,0.0002509651,0.0002503298,0.00003494477,0.000009963333,0.00005056619,0.9878511,0.0001289089,0.01020404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.148988,"threshold_uncertainty_score":0.4984146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491208109476532,"score_gpt":0.2844397462791064,"score_spread":0.2595276651843411,"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."}}