{"id":"W6894317758","doi":"10.5683/sp3/zjwld0","title":"Huntingdon (West) Ontario. 1:50,000. Map Sheet 031G01, ed. 5, 1971","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; Aerial photography; Natural (archaeology); Government (linguistics); Aerial image; Aerial survey; Spatial 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":[0.0004925228,0.001933486,0.001450194,0.005004665,0.001606921,0.003617685,0.001873952,0.0006515852,0.1731544],"category_scores_gemma":[0.002965573,0.0009646837,0.0006665638,0.02175033,0.000518597,0.001191797,0.001117339,0.001021167,0.1336394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0098014,"about_ca_system_score_gemma":0.01764042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9161326,"about_ca_topic_score_gemma":0.9526567,"domain_scores_codex":[0.9992524,0.00003420217,0.00005553344,0.0001935363,0.000289251,0.0001751229],"domain_scores_gemma":[0.9975767,0.0001600902,0.0001987991,0.0003026729,0.001503759,0.0002580488],"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":[0.0000137238,0.000002681154,0.0005454514,0.0002200625,0.000008022193,0.000009422095,0.00002996261,0.00005025111,0.00002760022,0.0001800956,0.9960079,0.002904721],"study_design_scores_gemma":[0.00002866711,0.000002282952,0.008436103,0.0001527079,0.000009276028,0.00001622355,0.0001069441,0.00005489415,0.00007397495,0.0001633623,0.9909419,0.0000136898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006071346,0.00006030595,0.00002437705,0.00002313284,0.00001167604,0.000004813062,0.9975197,0.0001011634,0.002194087],"genre_scores_gemma":[0.000608028,0.00017406,0.0002149165,0.00002631622,0.000006391397,0.00004013475,0.9917168,0.0001290234,0.007084297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1731544,"threshold_uncertainty_score":0.5792592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364790618897111,"score_gpt":0.270009289647368,"score_spread":0.2463613834583969,"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."}}