{"id":"W6967306545","doi":"10.5067/gpmgv/gcpex/vertix/data301","title":"GPM GROUND VALIDATION MCGILL VERTICAL POINTING X-BAND (VERTIX) RADAR GCPEX","year":2025,"lang":"en","type":"dataset","venue":"Earth Observing System Data and Information System","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Radar; Space-based radar; Satellite; Radar tracker; Radar systems; Early-warning radar","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":[0.000960083,0.00262108,0.001317845,0.00235952,0.0007538343,0.001248806,0.002601247,0.001872409,0.02360816],"category_scores_gemma":[0.002806638,0.0005333244,0.001192783,0.003190605,0.000518581,0.0008051616,0.001012513,0.001190582,0.04331638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001156318,"about_ca_system_score_gemma":0.001798618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07396042,"about_ca_topic_score_gemma":0.08370957,"domain_scores_codex":[0.9990861,0.0001353274,0.0000532343,0.0002633944,0.0003134275,0.0001483813],"domain_scores_gemma":[0.9988531,0.0001417738,0.00008426744,0.0003506095,0.0004855962,0.00008467225],"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":[0.00009353764,0.0000417592,0.001158745,0.0001998265,0.00004503605,0.0000211778,0.00001126817,0.003347539,0.0003216557,0.000262189,0.9906614,0.003835875],"study_design_scores_gemma":[0.0008622709,0.00008181778,0.02163564,0.0003445185,0.000111041,0.000122491,0.0001312991,0.01785409,0.002572864,0.002687055,0.9534886,0.0001082781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001067788,0.00007416635,0.0003038661,0.00006420167,0.00005884199,0.00002128167,0.9964769,0.000869868,0.001063054],"genre_scores_gemma":[0.001566067,0.00002718598,0.0005151217,0.00003499264,0.00001055306,0.00004184989,0.9968109,0.0001098242,0.0008835579],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07396042,"threshold_uncertainty_score":0.1470599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152441465170676,"score_gpt":0.2547823132848981,"score_spread":0.2232578986331914,"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."}}