{"id":"W6930253153","doi":"10.5281/zenodo.10968468","title":"Caravan - A global community dataset for large-sample hydrology","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Reproductive Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forcing (mathematics); Gauge (firearms); Drainage basin; Work (physics); Resource (disambiguation); Point (geometry)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001145542,0.0003067399,0.0002970416,0.00011597,0.001456708,0.0002608669,0.001898498,0.0004119482,0.001252816],"category_scores_gemma":[0.002308759,0.0003193499,0.0001028518,0.0002077567,0.0002252129,0.000008499017,0.003689331,0.0005813672,0.005142924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102137,"about_ca_system_score_gemma":0.00001809515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001719519,"about_ca_topic_score_gemma":0.00004783215,"domain_scores_codex":[0.9972603,0.000855382,0.0002964632,0.0008531203,0.0001690334,0.0005656977],"domain_scores_gemma":[0.9977985,0.00003921744,0.0001446396,0.001538869,0.0003240968,0.00015465],"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":[0.0002200089,0.0001728115,7.612097e-7,0.0002016808,0.0002023799,0.000009746858,0.00001975583,0.000004292646,0.003548057,0.0001051359,0.9943964,0.001118901],"study_design_scores_gemma":[0.0004116833,0.0008302972,0.00001656253,0.00001672181,0.00008006346,0.0002660668,0.00004396731,0.00001287712,0.0002701149,0.0002122987,0.9975348,0.0003046216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007425551,0.0003535834,0.000631232,0.0002381739,0.0003322898,0.0006385946,0.9964274,0.0001084706,0.0005276833],"genre_scores_gemma":[0.001084221,0.0002381741,0.0001245483,0.0003550734,0.0006024714,3.863678e-7,0.9969615,0.0005504704,0.0000831475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003890109,"threshold_uncertainty_score":0.9999259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338828518793198,"score_gpt":0.2908435745556823,"score_spread":0.2569607226763626,"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."}}