{"id":"W6963975727","doi":"10.22008/fk2/g06yck/x6pmrx","title":"Plot_Unique_Vertices_on_TileP.ipynb","year":2025,"lang":"cs","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005851061,0.003029268,0.002094172,0.003424803,0.00103384,0.003320107,0.003668021,0.002082456,0.2342143],"category_scores_gemma":[0.003914916,0.001528514,0.001457831,0.007866614,0.0005929976,0.001873572,0.002301109,0.001979154,0.2266467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566848,"about_ca_system_score_gemma":0.002066623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04232143,"about_ca_topic_score_gemma":0.06347657,"domain_scores_codex":[0.9993155,0.00007478817,0.00004685331,0.000265226,0.0001401302,0.0001576319],"domain_scores_gemma":[0.9985818,0.0004619931,0.00008762688,0.0004228956,0.0002954636,0.0001503323],"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":[0.00002980535,0.000007969235,0.0002433128,0.0003271822,0.00001308031,0.000007230747,0.00002372929,0.0002292703,0.0000575995,0.0004074111,0.9973862,0.001267226],"study_design_scores_gemma":[0.0002475011,0.00001087852,0.001689118,0.0001860176,0.00001936104,0.00002849344,0.00007537653,0.0006946399,0.000424986,0.001932598,0.9946592,0.0000317726],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000689088,0.00002941988,0.00007973726,0.00003094527,0.00001647452,0.000004236384,0.9976414,0.001384266,0.0007446422],"genre_scores_gemma":[0.0005179476,0.00005455055,0.0004002753,0.00002648997,0.000005856068,0.00004512577,0.9975927,0.0006600674,0.0006968962],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7657857,"threshold_uncertainty_score":0.7835248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03187205619393488,"score_gpt":0.2834481221175615,"score_spread":0.2515760659236266,"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."}}