{"id":"W6964826800","doi":"10.26023/pbg9-j8xh-2108","title":"STAR NOAA HRPT Satellite Data. Version 1.0","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; York University; University of Toronto; National Research Council Canada; University of Manitoba","funders":"","keywords":"Satellite; Data set; Advanced very-high-resolution radiometer; Upload; On board; High resolution; Transmission (telecommunications); Satellite imagery","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":[],"consensus_categories":[],"category_scores_codex":[0.001187442,0.0006738218,0.0006020074,0.002026349,0.0007256783,0.001363454,0.001155721,0.0006358142,0.05427859],"category_scores_gemma":[0.003029769,0.0005580053,0.0005054103,0.004972592,0.0002273685,0.001654288,0.0008666632,0.001119591,0.0603543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009395329,"about_ca_system_score_gemma":0.003226136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1053052,"about_ca_topic_score_gemma":0.09871203,"domain_scores_codex":[0.999068,0.0001006431,0.00008797323,0.0001420016,0.000497004,0.0001043529],"domain_scores_gemma":[0.997578,0.0001573276,0.0001322209,0.0004000534,0.00158186,0.0001505852],"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":[0.0001212338,0.00005301541,0.002773387,0.0004871688,0.00004334608,0.00007205524,0.0001495612,0.001492456,0.001694925,0.00131717,0.9682179,0.02357764],"study_design_scores_gemma":[0.00004282146,0.00001496942,0.005584068,0.00008545628,0.00002241856,0.00003951736,0.0001337642,0.000936396,0.00140508,0.0007905397,0.9909135,0.00003157703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00133257,0.0001587864,0.002414765,0.000172536,0.0002302455,0.00009506924,0.9726058,0.002803901,0.02018632],"genre_scores_gemma":[0.004731557,0.0001816872,0.007049908,0.0001100741,0.0000373705,0.000144449,0.9770166,0.001028205,0.009700139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1053052,"threshold_uncertainty_score":0.2093845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09671254782084564,"score_gpt":0.2756457775552513,"score_spread":0.1789332297344056,"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."}}