{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006829411,0.002787692,0.001098876,0.004249021,0.001030353,0.001513802,0.003139461,0.001389388,0.03488985],"category_scores_gemma":[0.002965112,0.0007293532,0.001214045,0.007846841,0.0004767194,0.001030336,0.001352445,0.001542206,0.05646317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081269,"about_ca_system_score_gemma":0.005404964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2584368,"about_ca_topic_score_gemma":0.3728694,"domain_scores_codex":[0.999423,0.00007557477,0.00004260021,0.0001627042,0.0001506215,0.0001454443],"domain_scores_gemma":[0.9987333,0.0001225581,0.00007862746,0.0003001265,0.0006109009,0.0001544728],"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":[0.00006222345,0.0000238479,0.0008096694,0.0001726798,0.00002393452,0.00001595767,0.00002338075,0.0003622238,0.0001554635,0.000159497,0.9961752,0.00201591],"study_design_scores_gemma":[0.0002244438,0.00001649881,0.01037609,0.0001670787,0.00003765397,0.00004352917,0.0001836529,0.001497287,0.0008132044,0.0007533771,0.9858425,0.00004464677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004289238,0.00004994348,0.00007355491,0.00005073394,0.00002460175,0.0000128429,0.9979286,0.0007230328,0.0007077527],"genre_scores_gemma":[0.0004285168,0.00003356281,0.0002386568,0.00001491595,0.000004791673,0.00004097154,0.9984084,0.00008928787,0.0007409891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7415632,"threshold_uncertainty_score":0.5138651,"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."}}