{"id":"W4398927088","doi":"10.7910/dvn/xv2ohj/ryh3c7","title":"siteA1_multispectral.TIF","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Multispectral image; Remote sensing; Computer science; Geology; Environmental science","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":[0.0009174939,0.004825339,0.002307603,0.004396826,0.001104844,0.003003382,0.004764798,0.003793003,0.1458659],"category_scores_gemma":[0.003523422,0.001005122,0.002126795,0.005564827,0.0007577264,0.001872541,0.002940822,0.002021681,0.2417965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693542,"about_ca_system_score_gemma":0.001686668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02214642,"about_ca_topic_score_gemma":0.03922547,"domain_scores_codex":[0.9990361,0.0001308193,0.00007780054,0.0003124401,0.0002279608,0.0002149794],"domain_scores_gemma":[0.9987819,0.000260749,0.00009722194,0.0003661513,0.0003434655,0.0001504571],"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":[0.00004704087,0.00002135933,0.0001946986,0.0004319408,0.00002087386,0.00001239732,0.00001046202,0.0001595311,0.0001280613,0.0001865313,0.9966344,0.002152641],"study_design_scores_gemma":[0.0002762112,0.00003131763,0.002470471,0.0002978356,0.00003953992,0.0001268088,0.00007528057,0.0009044409,0.0009174218,0.001907643,0.9929023,0.0000506438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000161737,0.0001703529,0.0001295269,0.00008902609,0.00005051385,0.00001610256,0.9966449,0.001610623,0.001127243],"genre_scores_gemma":[0.0004264334,0.00008987381,0.0003664678,0.00006573916,0.00001466259,0.00005205571,0.9978522,0.0002174947,0.0009150947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8541341,"threshold_uncertainty_score":0.4879701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781635191068327,"score_gpt":0.307335415526355,"score_spread":0.2795190636156717,"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."}}