{"id":"W6950668217","doi":"10.5683/sp3/acu2pq","title":"Taschereau (West) Quebec. 1:50,000. Map Sheet 032D10, ed. 1, 1967","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; Geographic information system; Government (linguistics); Orthophoto","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":[0.0004627829,0.00204461,0.0012083,0.004843099,0.001651311,0.003370216,0.001972221,0.000672974,0.1949839],"category_scores_gemma":[0.002638926,0.0007450631,0.0007350956,0.01970776,0.000413902,0.001192238,0.0009011187,0.001257831,0.1125283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01181335,"about_ca_system_score_gemma":0.01701692,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9700641,"about_ca_topic_score_gemma":0.9804603,"domain_scores_codex":[0.9993905,0.00002911686,0.00003412443,0.000154126,0.0002210279,0.0001712115],"domain_scores_gemma":[0.9979494,0.00009478437,0.0001182944,0.0002175979,0.001434182,0.0001857401],"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":[0.00001703307,0.000003931135,0.0007268295,0.0001451772,0.000009546653,0.0000105257,0.00002137131,0.00007795085,0.00002882903,0.0002380628,0.9948355,0.00388526],"study_design_scores_gemma":[0.00003593612,0.000003412846,0.01177309,0.0002084002,0.00001059647,0.00002073626,0.0001210197,0.0001563926,0.0001044256,0.0001909124,0.9873539,0.00002118434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009102476,0.00007516561,0.00003448199,0.00003007891,0.00001946243,0.000006581121,0.9967471,0.0001386642,0.002857439],"genre_scores_gemma":[0.001245191,0.0001942962,0.0002848773,0.00003811788,0.000008465418,0.00004600411,0.9872667,0.000146825,0.0107695],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1949839,"threshold_uncertainty_score":0.6522863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841305989677049,"score_gpt":0.2714640883581459,"score_spread":0.2530510284613754,"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."}}