{"id":"W6892225475","doi":"10.5065/d61r6nng","title":"Sea Ice Melt Ponds: Aerial Photo Mosaic, Version 1.0","year":2012,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Students on Ice","funders":"","keywords":"Sea ice; Submarine pipeline; Aerial photos; Aerial photography; Arctic ice pack","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":[0.0003699067,0.001414142,0.000804548,0.003092534,0.0004032844,0.0009170933,0.001165517,0.0006098017,0.01855592],"category_scores_gemma":[0.0008624943,0.0005583852,0.0006199878,0.004667661,0.0002310522,0.0007594201,0.000832645,0.0008960617,0.01863341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006639687,"about_ca_system_score_gemma":0.0009932171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04112712,"about_ca_topic_score_gemma":0.1243946,"domain_scores_codex":[0.9997463,0.00002243057,0.0000286025,0.00007364793,0.00008309824,0.00004596913],"domain_scores_gemma":[0.9995847,0.00002404504,0.00007104433,0.0001042212,0.000157584,0.00005849684],"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":[0.0001247471,0.00006306024,0.007069934,0.0005809419,0.00008622035,0.00007670154,0.0001248532,0.001365953,0.001226531,0.0004148573,0.9777691,0.01109713],"study_design_scores_gemma":[0.0002606034,0.00002712623,0.08421785,0.0002589157,0.00006265227,0.0001110484,0.0003013755,0.00312498,0.002393292,0.001040067,0.9081355,0.0000666138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001418964,0.00004028792,0.0002105757,0.00002325185,0.00001510407,0.00002926755,0.9961911,0.0007273391,0.001344046],"genre_scores_gemma":[0.001917616,0.00003784463,0.0009464172,0.00001002287,0.000004900591,0.00006020778,0.9962968,0.0001003949,0.0006257363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04112712,"threshold_uncertainty_score":0.08177549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007188820593267831,"score_gpt":0.180602215238406,"score_spread":0.1734133946451381,"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."}}