{"id":"W6969229567","doi":"10.5683/sp3/hrbn9u","title":"Lac Grandmesnil (West) Quebec. 1:50,000. Map Sheet 022O05, ed. 1, 1960","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); Geographic information system; Aerial photography; Digital mapping; Viewshed analysis","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":[0.0005680575,0.002154001,0.001336988,0.004841227,0.001716573,0.003704737,0.002237082,0.0007660715,0.1789648],"category_scores_gemma":[0.003031826,0.0007812283,0.0007601271,0.01861484,0.0004503825,0.001370271,0.0009759394,0.001338993,0.1078819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01209204,"about_ca_system_score_gemma":0.01817035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9673109,"about_ca_topic_score_gemma":0.9800915,"domain_scores_codex":[0.9992748,0.00003700558,0.00003976038,0.0001927891,0.0002582892,0.0001973598],"domain_scores_gemma":[0.9977508,0.0001164656,0.0001319042,0.0002567569,0.001536506,0.00020756],"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":[0.0000164337,0.000004094058,0.0006660299,0.0001472984,0.000009174151,0.00000983798,0.00002054016,0.00007201201,0.00002975043,0.0002310746,0.9950642,0.00372958],"study_design_scores_gemma":[0.00003604588,0.000003691901,0.0110113,0.0002373139,0.00001085201,0.00002040004,0.0001089304,0.0001679904,0.00009983473,0.0002064007,0.9880742,0.00002295045],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008888872,0.00009028592,0.00003927338,0.00003458329,0.00001994141,0.000007302508,0.9966655,0.0001604727,0.00289372],"genre_scores_gemma":[0.001082003,0.0001744046,0.0002795031,0.00004174906,0.000007840818,0.00004581168,0.9886147,0.0001525093,0.0096014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1789648,"threshold_uncertainty_score":0.5986968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01623908377895886,"score_gpt":0.2649793617676897,"score_spread":0.2487402779887308,"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."}}