{"id":"W6948402857","doi":"10.5065/d6j1019p","title":"Sea Ice Melt Ponds: Individual Line Photos, Version 1.0","year":2012,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Students on Ice","funders":"","keywords":"Transect; Line (geometry); Measure (data warehouse); Sea ice; Metre; Albedo (alchemy)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006255347,0.000471481,0.0003516065,0.00008413911,0.0001137143,0.000213259,0.0006262552,0.0005272764,0.0003656714],"category_scores_gemma":[0.0000472157,0.000430661,0.0002276009,0.0001058241,0.000123687,0.000007862232,0.001303902,0.0002437632,0.001714729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009205932,"about_ca_system_score_gemma":0.0001511758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004085706,"about_ca_topic_score_gemma":0.00000151127,"domain_scores_codex":[0.9983693,0.00003254154,0.0003389085,0.0005416355,0.0002335871,0.0004840784],"domain_scores_gemma":[0.9988621,0.0000263564,0.0001755103,0.000648195,0.00003087836,0.0002569059],"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":[0.00008678633,0.0001164545,0.0005910504,0.0000794755,0.0002181403,0.000009490557,0.000002919469,0.00000184079,0.0008789753,8.913146e-7,0.9972529,0.0007610783],"study_design_scores_gemma":[0.0003422075,0.0001825834,0.0000910911,0.00002815931,0.0001006825,0.00002071713,0.00001590694,9.437015e-7,0.006001009,0.00003741364,0.99266,0.0005193049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01804961,0.006450696,0.000001988371,0.00008960124,0.0003801963,0.000221427,0.9737217,0.00001427952,0.001070471],"genre_scores_gemma":[0.00858207,0.001529831,0.00005791301,0.0009078021,0.001529235,0.00002534398,0.9867677,0.00006845267,0.0005316244],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.013046,"threshold_uncertainty_score":0.9998145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030240454580973,"score_gpt":0.2072497806997664,"score_spread":0.1969473761539567,"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."}}