{"id":"W6969303661","doi":"10.5683/sp3/sgydkn","title":"Lac Blanzy (East) Quebec. 1:50,000. Map Sheet 022K06, ed. 1, 1964","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Geographic information system; Aerial photography; Viewshed analysis; Digital mapping","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":[0.0005950113,0.00206808,0.001553996,0.00467638,0.001747375,0.003415847,0.00232343,0.0008294485,0.1638228],"category_scores_gemma":[0.003400086,0.000774382,0.0008261565,0.01804526,0.0004674913,0.001161828,0.001029487,0.001382236,0.09953678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01090402,"about_ca_system_score_gemma":0.01696961,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9526221,"about_ca_topic_score_gemma":0.9701065,"domain_scores_codex":[0.9993805,0.0000393142,0.00003604861,0.0001775793,0.000203315,0.0001631329],"domain_scores_gemma":[0.997862,0.0001538126,0.000125522,0.0002844065,0.001348673,0.0002255791],"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":[0.00002347903,0.000004594155,0.0008549767,0.0002033508,0.00001461643,0.000011857,0.00002002477,0.0000992181,0.00003348702,0.0002528045,0.9947762,0.003705216],"study_design_scores_gemma":[0.00005693636,0.000003805368,0.01108367,0.0002628915,0.0000154004,0.00002295132,0.00009131915,0.0001727198,0.0001158231,0.000301279,0.9878488,0.00002452972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007539444,0.00007318011,0.00003028298,0.00002851367,0.00001184427,0.000004923828,0.9978889,0.0001469492,0.001739963],"genre_scores_gemma":[0.0007759611,0.0001339211,0.0002154945,0.00003153331,0.000005178192,0.00003441664,0.9932048,0.0001181838,0.005480487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1638228,"threshold_uncertainty_score":0.5480418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009601446419700305,"score_gpt":0.2415258177547553,"score_spread":0.231924371335055,"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."}}