{"id":"W6910891965","doi":"10.5067/y4w64re5rwbf","title":"SMAPVEX16 Manitoba CropScan Data, Version 1","year":2018,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Identification (biology); Perspective (graphical); Context (archaeology); Government (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["scholarly_communication","open_science"],"category_scores_codex":[0.00534517,0.001113385,0.001471157,0.0009552339,0.001095529,0.002287155,0.008256432,0.0009070747,0.0001407472],"category_scores_gemma":[0.0004432171,0.0010345,0.00009024447,0.0008254444,0.000167069,0.01876297,0.009173067,0.0007054775,0.04552672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005295894,"about_ca_system_score_gemma":0.0004554462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005123551,"about_ca_topic_score_gemma":0.001639081,"domain_scores_codex":[0.9919052,0.0007822021,0.002862823,0.001420822,0.002078078,0.0009509355],"domain_scores_gemma":[0.9806101,0.0001762182,0.00303147,0.01496961,0.0007123376,0.0005002662],"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":[0.0000782702,0.00001247367,0.0001142998,0.01618699,0.0002094065,0.00001884102,0.0001156783,0.000003207742,0.000002453069,0.00003628353,0.9829646,0.0002574738],"study_design_scores_gemma":[0.001100792,0.0000847078,0.0005400201,0.007468429,0.0003992637,0.0005136409,0.00663393,0.01510986,0.000003777101,8.251312e-8,0.9671357,0.001009766],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005282522,0.0003377167,0.0001516922,0.00002118393,0.004695924,0.001745621,0.990691,0.0009049283,0.0009236618],"genre_scores_gemma":[0.001863619,0.00005761925,0.0003853336,0.0001215604,0.001602898,0.00004267974,0.9957703,0.000101455,0.00005448262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04538598,"threshold_uncertainty_score":0.9992105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05089818408744867,"score_gpt":0.2562414554885454,"score_spread":0.2053432714010967,"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."}}