{"id":"W6892274690","doi":"10.5063/f1z31x2m","title":"Micronet climatic data for Mojave Desert, CA 2019","year":2019,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Census; Foundation (evidence); Climate change; Ectotherm; Precipitation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001372805,0.001391329,0.001842974,0.0006401008,0.0002243615,0.0003795524,0.007083131,0.001098369,0.004943394],"category_scores_gemma":[0.0008442787,0.001350303,0.0003302534,0.0004330029,0.000217449,0.0007274889,0.002853657,0.001097917,0.1992513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004569808,"about_ca_system_score_gemma":0.0007798194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00124188,"about_ca_topic_score_gemma":0.0008010629,"domain_scores_codex":[0.9933034,0.0002864133,0.001290648,0.002459749,0.0009231002,0.001736676],"domain_scores_gemma":[0.9849939,0.001151722,0.0009666029,0.01233376,0.0001821604,0.000371875],"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":[0.0002843793,0.0002437931,0.0000370861,0.001600157,0.0004643715,0.00003556965,0.00001823759,0.000009966255,0.0006203389,0.000003653474,0.9966099,0.00007251323],"study_design_scores_gemma":[0.001844042,0.00019022,0.00009341988,0.0005218098,0.001438519,0.0001059523,0.00004477655,0.001318697,0.00005569095,0.00003878032,0.9927378,0.001610344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001931244,0.003580525,0.00003166689,0.00004728713,0.002098128,0.003825202,0.9897645,0.0001257845,0.0003338327],"genre_scores_gemma":[0.00001485989,0.000756203,0.001471005,0.0005716475,0.0009732087,0.0002030739,0.9931369,0.0005516573,0.002321447],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1943079,"threshold_uncertainty_score":0.9998837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0760620562507715,"score_gpt":0.3475843408455881,"score_spread":0.2715222845948166,"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."}}