{"id":"W6929622192","doi":"10.5065/d6nz85tb","title":"Sea Ice Melt Ponds: Spectral Albedo, Version 1.0","year":2008,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Nuclear Structure and Function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Students on Ice","funders":"","keywords":"Transect; Sea ice; Measure (data warehouse); Spectral analysis; Theodolite; Measuring instrument","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":[0.0009544861,0.002739422,0.001519248,0.00334238,0.0005955918,0.001298749,0.002640726,0.001242636,0.01602428],"category_scores_gemma":[0.002275538,0.0007865949,0.0009418668,0.00478196,0.0003174912,0.0009297313,0.001143788,0.001606105,0.02928035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009300919,"about_ca_system_score_gemma":0.001117427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476598,"about_ca_topic_score_gemma":0.0329817,"domain_scores_codex":[0.9994705,0.00007023734,0.00007164109,0.0001840633,0.0001323538,0.00007115384],"domain_scores_gemma":[0.9989223,0.0001511291,0.0002063238,0.0003315952,0.0003008942,0.00008770694],"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":[0.0003000306,0.0001186906,0.01248671,0.001373625,0.0002310332,0.0001137859,0.00008988695,0.002459717,0.001438224,0.0005855379,0.9658688,0.01493395],"study_design_scores_gemma":[0.0004967245,0.0000435965,0.05256153,0.0001783433,0.0001011594,0.0001625689,0.0001225493,0.002911216,0.003247803,0.001134522,0.93897,0.0000699206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001072329,0.00004934312,0.0002365088,0.00002417962,0.00001004581,0.00001304767,0.9974908,0.0006278007,0.0004759374],"genre_scores_gemma":[0.001099825,0.00003412191,0.0006785888,0.000009698339,0.000003323196,0.00005686391,0.9976133,0.00007549067,0.0004287967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01602428,"threshold_uncertainty_score":0.05360657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005572661525354038,"score_gpt":0.2205439105572739,"score_spread":0.2149712490319199,"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."}}