{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005102732,0.001573492,0.001135818,0.003662026,0.001900713,0.001874805,0.002743648,0.0009353493,0.03002661],"category_scores_gemma":[0.002246334,0.0008106333,0.0006618264,0.01121292,0.0006311595,0.0007408931,0.001203888,0.001078575,0.02262565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01051848,"about_ca_system_score_gemma":0.02082133,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9424037,"about_ca_topic_score_gemma":0.973179,"domain_scores_codex":[0.9992567,0.00003126554,0.00006022699,0.0001324009,0.0003334253,0.0001859602],"domain_scores_gemma":[0.9978357,0.0001034769,0.0001888372,0.0002298284,0.001393651,0.0002484777],"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":[0.00008509429,0.00002373841,0.005068893,0.0004662843,0.00004937338,0.00004593112,0.0001575643,0.0003678343,0.0002779376,0.0003340954,0.9885725,0.004550899],"study_design_scores_gemma":[0.0002031005,0.000009753816,0.06499761,0.0003003489,0.00005503466,0.0000415299,0.0004092134,0.0006268356,0.0006785474,0.0003556568,0.9322566,0.00006578475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005516349,0.00005434562,0.0000508234,0.00003702001,0.00001143155,0.0000138769,0.9981173,0.0001407257,0.001022857],"genre_scores_gemma":[0.001516327,0.00005414413,0.0002439787,0.00001587152,0.000004621471,0.0000483907,0.9965634,0.00005906176,0.001494144],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05759627,"threshold_uncertainty_score":0.1158709,"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."}}