{"id":"W7083811360","doi":"10.5281/zenodo.17236696","title":"Carex intumescens","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carex; Scale (ratio); Wetland; Habitat; Elevation (ballistics)","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":[0.00006115657,0.00063224,0.0002345434,0.001146328,0.001070158,0.0003045973,0.0003546485,0.0005167188,0.01884151],"category_scores_gemma":[0.0001702744,0.0001203538,0.0001180555,0.0005077026,0.0003399644,0.000672999,0.0005839816,0.0004969906,0.003904464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005994647,"about_ca_system_score_gemma":0.0002928037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0152993,"about_ca_topic_score_gemma":0.04400813,"domain_scores_codex":[0.9999281,0.00000665892,0.00000769067,0.00002889983,0.00001804625,0.00001061919],"domain_scores_gemma":[0.9999163,0.00001186277,0.00002467688,0.000007195106,0.00002277955,0.00001716466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001066622,0.0003579968,0.06666188,0.001685358,0.00005511597,0.008426987,0.002751902,0.0006206623,0.2448636,0.006507526,0.07320551,0.5937968],"study_design_scores_gemma":[0.00005969295,0.0005862881,0.5917603,0.0005491974,0.00005886386,0.007708376,0.002042668,0.0004498525,0.009135683,0.001164153,0.386436,0.00004888053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6596184,0.01091636,0.004130046,0.002514658,0.0008905705,0.0008364488,0.01067101,0.001046855,0.3093756],"genre_scores_gemma":[0.8572642,0.002948141,0.007750466,0.002447127,0.0001981218,0.0003294563,0.007882859,0.00004195864,0.1211377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01884151,"threshold_uncertainty_score":0.06303114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1050391199618726,"score_gpt":0.3802615150961941,"score_spread":0.2752223951343215,"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."}}