{"id":"W6950719727","doi":"10.5683/sp3/gjxzgp","title":"Wishart Point (West) New Brunswick. 1:50,000. Map Sheet 021P07, ed. 1, 1957","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthophoto; Aerial photography; Raster graphics; Georeference; Point (geometry); Natural (archaeology); General partnership; Digital mapping; Image (mathematics)","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":[0.0005312901,0.001845268,0.001282796,0.005279796,0.001063582,0.003697366,0.001980468,0.0006029955,0.1737543],"category_scores_gemma":[0.003119424,0.0009998102,0.0005902464,0.02309174,0.0003953905,0.001592726,0.001268181,0.001234071,0.1884724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00629169,"about_ca_system_score_gemma":0.01166751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7823198,"about_ca_topic_score_gemma":0.87285,"domain_scores_codex":[0.9993004,0.00003771091,0.00007077455,0.0001954319,0.0002255035,0.0001701977],"domain_scores_gemma":[0.9979146,0.0001284699,0.0001732344,0.0003246476,0.001299065,0.0001599744],"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":[0.00001803092,0.000003210988,0.0006042081,0.0002134474,0.000008989196,0.00001785134,0.00003155446,0.00006965207,0.00005768305,0.0003045212,0.9936522,0.005018593],"study_design_scores_gemma":[0.00001816798,0.000001620325,0.004585844,0.0001435397,0.000005170778,0.0000171092,0.0001115692,0.00003691396,0.0001025065,0.0001794058,0.9947847,0.00001347294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007507718,0.00008656632,0.00004133183,0.00003266114,0.00002562539,0.000006941826,0.9963961,0.000129033,0.003206545],"genre_scores_gemma":[0.0006035831,0.0002193947,0.0002641211,0.0000351423,0.000006575418,0.00004133996,0.9895611,0.000187766,0.009080942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2176802,"threshold_uncertainty_score":0.581266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824207906978082,"score_gpt":0.2654705663214059,"score_spread":0.2472284872516251,"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."}}