{"id":"W6974428218","doi":"10.5880/isg.2023.004","title":"The Mexican gravimetric geoid: xGGM23","year":2023,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geoid; Geopotential; Gravimetry; Latitude; Gravity anomaly; Global Positioning System; Gravimetric analysis","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":[0.0006841169,0.001785094,0.001173101,0.003318849,0.0007854874,0.001778595,0.003010763,0.001348332,0.04355538],"category_scores_gemma":[0.002816758,0.000800339,0.001019764,0.008536341,0.0003900305,0.001523872,0.001792091,0.001625839,0.05273789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649803,"about_ca_system_score_gemma":0.002070853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07882192,"about_ca_topic_score_gemma":0.07452063,"domain_scores_codex":[0.9994128,0.0000679794,0.00005786098,0.000207597,0.0001341141,0.0001196113],"domain_scores_gemma":[0.9991197,0.00009663502,0.00009814042,0.0002638484,0.0003272508,0.00009437829],"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":[0.0000704105,0.00002608025,0.002686124,0.0003891865,0.00004089463,0.00003850546,0.00005174459,0.001191263,0.0002110936,0.0007921094,0.9900634,0.004439239],"study_design_scores_gemma":[0.0001763076,0.00001224395,0.01298711,0.000239963,0.00003326944,0.00005164143,0.0001815344,0.001511393,0.0005324379,0.001121237,0.9831078,0.00004513464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003972329,0.00002523856,0.0001069904,0.00004150054,0.0000161874,0.000009157405,0.9982522,0.0005187157,0.0006327088],"genre_scores_gemma":[0.0007856715,0.00002432406,0.0003714064,0.00001343179,0.000004328438,0.00006606771,0.9982886,0.00009300918,0.0003532],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07882192,"threshold_uncertainty_score":0.1567262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07332921197550707,"score_gpt":0.3715637916012903,"score_spread":0.2982345796257833,"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."}}