{"id":"W6950141944","doi":"10.5281/zenodo.7712869","title":"samapriya/awesome-gee-community-datasets: Community Catalog","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Earth observation; Product (mathematics); Metadata; Variety (cybernetics); Downscaling; Logging; Tundra","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":[0.002263802,0.002200089,0.001712423,0.004446116,0.001319554,0.002896322,0.005225101,0.0019437,0.1326054],"category_scores_gemma":[0.01167876,0.001165395,0.00209429,0.009074526,0.0005720257,0.006060014,0.006158835,0.002331764,0.2491282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001182252,"about_ca_system_score_gemma":0.002671524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596878,"about_ca_topic_score_gemma":0.02922924,"domain_scores_codex":[0.9984061,0.0002073068,0.00017771,0.0004416537,0.0004795027,0.0002877684],"domain_scores_gemma":[0.9951239,0.000485853,0.0002278634,0.002078717,0.001594039,0.0004896622],"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":[0.00002153358,0.000009559167,0.0002288346,0.0001963234,0.00001494549,0.000008428424,0.00001657293,0.00006184675,0.0001422147,0.000272017,0.9968866,0.002141171],"study_design_scores_gemma":[0.0001182916,0.000009503346,0.001447465,0.0001180676,0.00001594358,0.00003514765,0.00006563446,0.0003746988,0.0005018155,0.00128889,0.9959903,0.00003417192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000201084,0.00009412382,0.0007466963,0.00013976,0.00008082786,0.00006259871,0.9868535,0.008564054,0.003257296],"genre_scores_gemma":[0.0003744102,0.0000680978,0.001681944,0.000117551,0.00001567008,0.000206281,0.9947835,0.001568012,0.001184608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1326054,"threshold_uncertainty_score":0.4436091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04982801140223481,"score_gpt":0.2665980158473475,"score_spread":0.2167700044451127,"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."}}