{"id":"W6964780192","doi":"10.26023/67vz-3bn5-1p0h","title":"Lake-ICE: High Resolution Research Soundings from Timmims, Ontario Canada. Version 1.0","year":2011,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Radiosonde; Depth sounding; Atmospheric sounding; Data set; Joint (building); High resolution; Atmospheric research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007770843,0.000295096,0.0003253576,0.0000743761,0.001211342,0.00004312672,0.0008893696,0.0004844477,0.02649764],"category_scores_gemma":[0.0001813224,0.0003039955,0.00004103029,0.0004057682,0.0003978238,0.0002260579,0.001588993,0.001298352,0.004657517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145769,"about_ca_system_score_gemma":0.0007205012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886038,"about_ca_topic_score_gemma":0.999795,"domain_scores_codex":[0.9972145,0.0003353932,0.000238143,0.0007294047,0.0008333539,0.0006492345],"domain_scores_gemma":[0.9986678,0.0002018475,0.0001683841,0.0006961799,0.00008764026,0.0001780906],"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":[0.00004236313,0.0000418522,0.06161029,0.00001523655,0.00004658291,0.0001096039,0.0001825134,0.000005245562,0.0000240556,0.000001247247,0.9379124,0.000008592063],"study_design_scores_gemma":[0.0001470358,0.00004640569,0.3097255,0.00003553564,0.00003789283,2.910795e-7,0.00009062128,4.211625e-7,0.00002785052,0.00002020392,0.6896451,0.0002232385],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1770284,0.0001581859,1.461027e-7,0.0001967857,0.001315584,0.000191492,0.8206109,0.00003075707,0.000467723],"genre_scores_gemma":[0.001604526,0.0002228959,0.0003152137,0.00103999,0.0002491188,0.00001339826,0.991644,0.00001908047,0.004891822],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2482674,"threshold_uncertainty_score":0.9999412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288994469377096,"score_gpt":0.2243816085381705,"score_spread":0.1914916638443996,"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."}}