{"id":"W6888374039","doi":"10.18739/a2ks6n","title":"Cloud occurrence and layering at Arctic atmospheric observatories: Eureka, Canada","year":2016,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Layering; Arctic; Cloud computing; The arctic; Cloud top","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":[0.0006050708,0.003319617,0.0018531,0.004122243,0.001316654,0.002400271,0.003333005,0.001925311,0.01927149],"category_scores_gemma":[0.004106929,0.001066991,0.001771906,0.009601912,0.0005892071,0.001179849,0.001450109,0.001742123,0.0278046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004274426,"about_ca_system_score_gemma":0.009158504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8163816,"about_ca_topic_score_gemma":0.8861197,"domain_scores_codex":[0.9992095,0.00005655497,0.00007028667,0.0002179757,0.0002453559,0.0002002861],"domain_scores_gemma":[0.9980678,0.000197613,0.0001296856,0.0004169965,0.0009709654,0.0002169095],"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":[0.00007730496,0.00002220839,0.002385918,0.0003417655,0.0001018239,0.00004265954,0.00003855674,0.001637739,0.0001409637,0.0002259946,0.9922029,0.00278221],"study_design_scores_gemma":[0.0004093866,0.00001433232,0.03225502,0.0006503757,0.0001445236,0.0001026448,0.0002148359,0.004681057,0.0009719117,0.001207525,0.9592329,0.0001154583],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003450197,0.00009514114,0.0000536539,0.00002640417,0.00001684103,0.000006024694,0.9987134,0.0003742395,0.0003692623],"genre_scores_gemma":[0.0006466475,0.00008025642,0.0002311093,0.00001249529,0.000004097719,0.00001702231,0.9983562,0.00006895692,0.0005831487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1836184,"threshold_uncertainty_score":0.3693994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480986516331659,"score_gpt":0.2312312906708558,"score_spread":0.2164214255075392,"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."}}