{"id":"W4393467964","doi":"10.5281/zenodo.3732651","title":"Coimbra Mass Movement Files and Feature Data","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Geological and Geophysical Studies Worldwide","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Marianopolis College","funders":"","keywords":"Movement (music); Feature (linguistics); Mass movement; Computer science; Geology; Art; Linguistics; Geomorphology","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002354982,0.0002106893,0.0002482616,0.00005685425,0.001506148,0.0005870887,0.001717339,0.0001007793,0.0384133],"category_scores_gemma":[0.0004647228,0.0001682375,0.00003277002,0.0003031113,0.0002150851,0.000132398,0.001631406,0.0004929867,0.0231083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005688744,"about_ca_system_score_gemma":0.000002199791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002847222,"about_ca_topic_score_gemma":0.00002457252,"domain_scores_codex":[0.9982323,0.0002034776,0.0001689371,0.000671576,0.0003773988,0.0003463054],"domain_scores_gemma":[0.9989268,0.00005758478,0.00009849979,0.0005672858,0.00009991351,0.0002499706],"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":[0.00002967405,0.00002001108,0.000005977457,0.0000818172,0.00004548667,0.00003175069,0.00001617585,0.00001196209,0.00000384837,0.00001764632,0.9665613,0.03317434],"study_design_scores_gemma":[0.000160198,0.0002279137,0.004496803,0.0000207114,0.00002948777,0.000009014756,0.00004832315,0.0002069543,0.000001206901,0.0002431006,0.9943508,0.0002054995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003166027,0.0003451805,0.00002012941,0.00344898,0.00009871881,0.0002627628,0.9876506,0.0001631649,0.007978776],"genre_scores_gemma":[0.0003221213,0.000851479,0.0001055799,0.001080946,0.0002785528,6.509621e-9,0.9967366,0.00008981592,0.0005348552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03296884,"threshold_uncertainty_score":0.9997938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04009806352595261,"score_gpt":0.2199540516036018,"score_spread":0.1798559880776492,"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."}}