{"id":"W6912603540","doi":"10.5281/zenodo.4298906","title":"Pingo Canadian Landmark. Ultra high resolution orthomosaic.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Archaeological Research and Protection","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"European Commission","keywords":"High resolution; Calibration; Work (physics); Geographic information system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009767356,0.001118774,0.0004386711,0.003061737,0.007332271,0.002441267,0.001085823,0.001074716,0.09845325],"category_scores_gemma":[0.001168117,0.0006811565,0.0004185618,0.004566404,0.001241881,0.0009638807,0.002128794,0.002397225,0.03080022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0114576,"about_ca_system_score_gemma":0.03406373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9457074,"about_ca_topic_score_gemma":0.9804783,"domain_scores_codex":[0.9989352,0.00004564325,0.00001328692,0.00009111693,0.000602001,0.0003127979],"domain_scores_gemma":[0.9982991,0.00003692885,0.00005234716,0.00008634417,0.001153023,0.0003723207],"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":[0.0001516599,0.00001088811,0.001332835,0.0001309301,0.000007188134,0.0001540351,0.000119319,0.000132001,0.0009650929,0.003293373,0.9584858,0.03521684],"study_design_scores_gemma":[0.000005197558,0.000004420055,0.004490181,0.00003620487,0.000003885222,0.00005427134,0.0001202537,0.00004548152,0.0002979801,0.0003059698,0.9946222,0.00001389254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.008852813,0.02595988,0.005865231,0.02286712,0.01030145,0.0005514813,0.1208874,0.003222197,0.8014925],"genre_scores_gemma":[0.04306651,0.008457113,0.01172243,0.003367496,0.0007553652,0.0002598701,0.04505485,0.001810944,0.8855054],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.09845325,"threshold_uncertainty_score":0.3293589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03920202374900036,"score_gpt":0.2079497407068573,"score_spread":0.168747716957857,"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."}}