{"id":"W6931609703","doi":"10.5281/zenodo.5975927","title":"HyRiver: Hydroclimate Data Retriever","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Component (thermodynamics); Data loss; Column (typography); Tuple","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":[0.001601862,0.002794296,0.001667839,0.001886774,0.0007494243,0.004451178,0.004615256,0.001474778,0.2969891],"category_scores_gemma":[0.006150389,0.00221456,0.001681216,0.001868324,0.0006866392,0.004636751,0.004226571,0.002875938,0.3053671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001258107,"about_ca_system_score_gemma":0.001423022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006263461,"about_ca_topic_score_gemma":0.005985965,"domain_scores_codex":[0.9987282,0.0001028424,0.0001062806,0.0004192537,0.0004995646,0.0001437444],"domain_scores_gemma":[0.9979126,0.0003459559,0.0001029385,0.0008923659,0.0005543226,0.0001917654],"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":[0.0002152598,0.00003114469,0.001070096,0.0003414375,0.000059861,0.000116628,0.0001809565,0.0008748638,0.001855494,0.002619429,0.9588413,0.03379355],"study_design_scores_gemma":[0.0002409077,0.00002079605,0.001872965,0.0001150603,0.0000249036,0.0001535508,0.00008512448,0.007346886,0.01379543,0.00734345,0.9688703,0.0001306221],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007397042,0.0001340464,0.04112854,0.0002328978,0.000227555,0.00008770041,0.07906203,0.8620583,0.01632923],"genre_scores_gemma":[0.01502044,0.0002400857,0.04239072,0.0008305599,0.0001448875,0.0004160016,0.1911692,0.7179393,0.03184887],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2969891,"threshold_uncertainty_score":0.9935275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1404543141579931,"score_gpt":0.4136205932227637,"score_spread":0.2731662790647706,"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."}}