{"id":"W6946258303","doi":"10.25976/4vph-rb61","title":"RivTemp--OBVHCN_INRS","year":2021,"lang":"en","type":"dataset","venue":"DataStream","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"General partnership; Variety (cybernetics); Foundation (evidence); Watershed; Oncorhynchus","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001737414,0.002289254,0.00177784,0.003571237,0.001271242,0.003616226,0.003840249,0.001822249,0.1359331],"category_scores_gemma":[0.007301344,0.001145231,0.00149192,0.00802109,0.0004894828,0.002062298,0.002957879,0.002438507,0.1880013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002422691,"about_ca_system_score_gemma":0.00492917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250486,"about_ca_topic_score_gemma":0.137957,"domain_scores_codex":[0.9981103,0.0003481641,0.0001732902,0.0005571882,0.0004757936,0.0003353048],"domain_scores_gemma":[0.9968323,0.0007203585,0.000267584,0.0008547456,0.0009507671,0.0003742658],"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":[0.00002921124,0.000008815602,0.0003301768,0.0001885997,0.00001307066,0.000007264225,0.00001560172,0.0001426039,0.0000383336,0.0004252372,0.9977645,0.001036625],"study_design_scores_gemma":[0.0001543851,0.000009051761,0.002143298,0.0002092586,0.00001592037,0.00002462307,0.00006298249,0.00044728,0.0001883636,0.0008391537,0.9958786,0.00002704468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004932438,0.00001547904,0.00005265139,0.00003741124,0.00001455191,0.000005864589,0.9989899,0.0002905899,0.0005442587],"genre_scores_gemma":[0.0001319997,0.00001967243,0.0002012626,0.00002089519,0.000003497702,0.00004931367,0.9989017,0.000123798,0.0005479431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8640669,"threshold_uncertainty_score":0.4547415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01992025047406969,"score_gpt":0.2877364500954117,"score_spread":0.267816199621342,"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."}}