{"id":"W6913084826","doi":"10.5683/sp3/srj1xj","title":"Caraquet (East) New Brunswick. 1:50,000. Map Sheet 021P15, ed. 1, 1955","year":2022,"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); Digital mapping; Aerial photography; 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":[0.0005186319,0.00195022,0.001204763,0.0053915,0.001043055,0.003378338,0.002119252,0.0006123658,0.1647658],"category_scores_gemma":[0.002973313,0.0008875888,0.0006580593,0.01946103,0.0003709476,0.001431466,0.001206981,0.001178208,0.1532162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006081867,"about_ca_system_score_gemma":0.01121403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7918639,"about_ca_topic_score_gemma":0.8744835,"domain_scores_codex":[0.9993597,0.00003552786,0.00006396351,0.000180939,0.0002053045,0.0001546326],"domain_scores_gemma":[0.9981776,0.0001141755,0.0001618426,0.0002985033,0.001085128,0.0001627692],"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":[0.00001705625,0.000003110116,0.000588396,0.000221918,0.000009937329,0.0000170814,0.00002972145,0.0000681497,0.00005892551,0.0002772507,0.9945158,0.004192499],"study_design_scores_gemma":[0.00001884528,0.000001587812,0.004292184,0.0001231215,0.00000505553,0.00001618385,0.00009339002,0.00003865713,0.00008353874,0.0001534492,0.995161,0.00001291464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007819342,0.00008792671,0.00003174945,0.00003044929,0.00002755595,0.000006630549,0.996924,0.0001450163,0.002668553],"genre_scores_gemma":[0.0005881437,0.0001627808,0.0002189361,0.0000321795,0.000005659176,0.00003680988,0.9922873,0.000169638,0.006498647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2081361,"threshold_uncertainty_score":0.5511967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797559218496409,"score_gpt":0.2615920727390404,"score_spread":0.2436164805540763,"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."}}