{"id":"W6950437364","doi":"10.5281/zenodo.8076356","title":"cf_xarray","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"Metadata; Convention; Term (time); Process (computing); Product (mathematics)","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":[0.004209865,0.003609995,0.00198351,0.004584238,0.002058218,0.00594463,0.005557404,0.002988896,0.3413686],"category_scores_gemma":[0.01164594,0.001900473,0.00273174,0.005939484,0.0008167771,0.009695644,0.005788967,0.00278341,0.2950626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237403,"about_ca_system_score_gemma":0.002264751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02558858,"about_ca_topic_score_gemma":0.01980182,"domain_scores_codex":[0.9969795,0.0002821647,0.0002430715,0.0009256097,0.001119589,0.0004502083],"domain_scores_gemma":[0.9930139,0.001227408,0.000274607,0.003024437,0.002030984,0.000428619],"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":[0.0001770576,0.00001311403,0.0002789841,0.0001816478,0.00001652065,0.00002886365,0.00004665387,0.0001180717,0.0005397584,0.002283398,0.9850665,0.01124934],"study_design_scores_gemma":[0.0000760229,0.00001266388,0.0006410743,0.00007831975,0.00001082251,0.00005506396,0.00002370368,0.0007649151,0.002083854,0.002924441,0.9932758,0.0000534714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007679745,0.0003311162,0.02707059,0.0007187129,0.0004874976,0.00020508,0.4416631,0.4454652,0.08329083],"genre_scores_gemma":[0.007988033,0.0004023344,0.03214224,0.00130139,0.0002906105,0.0005849031,0.7263189,0.1795502,0.05142143],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3413686,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01986399500561255,"score_gpt":0.222221175393564,"score_spread":0.2023571803879514,"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."}}