{"id":"W6967526097","doi":"10.5203/a358-ke25","title":"Canvec 15M Hydro","year":2019,"lang":"en","type":"dataset","venue":"UMANCEOS","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Work (physics); Context (archaeology); Process (computing); Pipeline (software)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002119733,0.0005362207,0.0006542696,0.0002915701,0.0000780151,0.00007335476,0.001166957,0.0004726475,0.005549114],"category_scores_gemma":[0.00008780439,0.0005364651,0.0001639558,0.0002661502,0.0001077158,0.0001288253,0.0002675201,0.0008103364,0.4591683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003791302,"about_ca_system_score_gemma":0.0002940705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894661,"about_ca_topic_score_gemma":0.00227371,"domain_scores_codex":[0.9974703,0.00007425115,0.0003590175,0.000770061,0.0006777591,0.0006486339],"domain_scores_gemma":[0.9969627,0.00005898896,0.000371561,0.002390944,0.00007189678,0.0001438932],"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":[0.00002223209,0.00005502121,0.00001493732,0.0001972011,0.00007506947,0.0000572878,0.00001322378,0.00002404154,0.00003222532,0.00000599205,0.9994298,0.00007294129],"study_design_scores_gemma":[0.0004361947,0.00004890143,0.00007449145,0.0001755041,0.000113721,0.00001550913,0.000004443374,0.00002876481,0.00003331242,0.00003085579,0.998401,0.0006373444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001225158,0.0005143824,4.163986e-7,0.00002052107,0.001799066,0.0005963807,0.9950472,0.0001332426,0.001766315],"genre_scores_gemma":[0.00005054651,0.0001034451,0.00002034154,0.0003445368,0.0009478886,0.00008396048,0.9928459,0.0001658374,0.005437532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4536192,"threshold_uncertainty_score":0.9997087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263244786594529,"score_gpt":0.2901584006886055,"score_spread":0.2638339220291526,"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."}}