{"id":"W6894337808","doi":"10.5683/sp3/yyxbpc","title":"Gambo (West) Newfoundland. 1:50,000. Map Sheet 002D16, ed. 1, 1953","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; Topographic map (neuroanatomy); Government (linguistics)","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":[0.0005547355,0.002141839,0.001428837,0.005141733,0.001175133,0.003931413,0.001911069,0.0007365727,0.147538],"category_scores_gemma":[0.002539782,0.001078113,0.0006851038,0.01709801,0.0004852411,0.001653575,0.001339805,0.001355383,0.1448991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005946529,"about_ca_system_score_gemma":0.009053069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8207661,"about_ca_topic_score_gemma":0.8869187,"domain_scores_codex":[0.9992626,0.00004229429,0.00005395924,0.0002354733,0.0001863453,0.0002193744],"domain_scores_gemma":[0.9984261,0.0001389708,0.0001855598,0.0002878178,0.0007680114,0.0001935119],"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":[0.00001882327,0.000004369761,0.0005648608,0.0002159215,0.00001115203,0.00001463397,0.00002035319,0.00006236089,0.00003513713,0.0001645584,0.9953732,0.003514651],"study_design_scores_gemma":[0.00002783653,0.000002953893,0.009770072,0.0002192603,0.000009928845,0.0000253103,0.0001172472,0.00006348298,0.00009266117,0.0001403085,0.9895125,0.0000183437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009056162,0.00008789184,0.00002617871,0.00002657352,0.00001844182,0.000003954233,0.9974262,0.0001617948,0.002158357],"genre_scores_gemma":[0.0005885345,0.0001700615,0.0002127194,0.000034677,0.000006562211,0.00003221327,0.9926195,0.0001676433,0.00616815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1792339,"threshold_uncertainty_score":0.4935637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01993937571625484,"score_gpt":0.2763077570256773,"score_spread":0.2563683813094225,"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."}}