{"id":"W1956338829","doi":"10.5194/tc-9-1551-2015","title":"Melt pond fraction and spectral sea ice albedo retrieval from MERIS data – Part 1: Validation against in situ, aerial, and ship cruise data","year":2015,"lang":"en","type":"article","venue":"The cryosphere","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Universität Bremen; University of Manitoba","keywords":"Sea ice; Melt pond; Albedo (alchemy); Arctic ice pack; Environmental science; Geology; Climatology; Sea ice thickness; Remote sensing; Atmospheric sciences","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0008261088,0.0001777351,0.0002121208,0.00001728228,0.0001790191,0.0001951191,0.0005720394,0.0001115284,0.000327507],"category_scores_gemma":[0.0001748912,0.0001376335,0.00001320637,0.0001803787,0.000155924,0.00110714,0.000186007,0.0002689424,0.0000678786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001242,"about_ca_system_score_gemma":0.0001143079,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01264897,"about_ca_topic_score_gemma":0.04347837,"domain_scores_codex":[0.9984002,0.0001808571,0.0002626652,0.0005485371,0.0003222663,0.000285541],"domain_scores_gemma":[0.9984973,0.0002825414,0.0001307029,0.0008756419,0.00003251534,0.0001813152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009953355,0.00007866306,0.915678,0.00004275144,0.000112899,0.00007692452,0.001770598,0.0005236707,0.0002264992,0.00003135152,0.01955472,0.06090865],"study_design_scores_gemma":[0.002312031,0.0002343682,0.6812066,0.0001054661,0.0002496341,0.00005695337,0.006803705,0.2100015,0.00008426704,0.004069606,0.09404393,0.0008319991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942146,0.0007226769,0.0002567955,0.0008383109,0.0006080345,0.0002124415,0.0009418444,0.0000289598,0.002176346],"genre_scores_gemma":[0.9913829,0.0006059448,0.0009112286,0.0003272769,0.0005926467,4.009234e-7,0.00601867,0.000008157341,0.000152785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2344714,"threshold_uncertainty_score":0.9939259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05279707529524515,"score_gpt":0.2547467880077959,"score_spread":0.2019497127125508,"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."}}