{"id":"W6948784682","doi":"10.5281/zenodo.10520045","title":"Ouranosinc/xscen: v0.8.0","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ouranos","funders":"","keywords":"NetCDF; Pascal (unit); Function (biology); Variable (mathematics); Point (geometry); Filter (signal processing); Resampling","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00289551,0.003402486,0.001822049,0.00311445,0.00104574,0.005510716,0.006292448,0.002267881,0.3720869],"category_scores_gemma":[0.01310939,0.002697975,0.003437573,0.004159727,0.0008098087,0.0052594,0.005338056,0.003449981,0.5382525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002040637,"about_ca_system_score_gemma":0.002512299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02090495,"about_ca_topic_score_gemma":0.01739116,"domain_scores_codex":[0.9983069,0.0001868939,0.000133188,0.0004448097,0.0006933439,0.0002348843],"domain_scores_gemma":[0.9974216,0.0003854138,0.00009450351,0.0009985621,0.0007830557,0.0003168436],"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":[0.00003646217,0.000006765883,0.0001494145,0.0001332823,0.00001264574,0.000008021072,0.00001357603,0.0001466949,0.00006906027,0.0002800288,0.9961814,0.002962771],"study_design_scores_gemma":[0.0002076074,0.00001939877,0.0009905804,0.0001378902,0.00001364263,0.00003927147,0.00003081736,0.001326608,0.0007778444,0.00219745,0.994204,0.000054946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003092231,0.0001907706,0.003756577,0.0004511198,0.0007940511,0.0001621035,0.6965511,0.2866195,0.01116556],"genre_scores_gemma":[0.001730966,0.0001987843,0.005931792,0.0005032566,0.00009770954,0.0004865403,0.8858712,0.09773783,0.007441897],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3720869,"threshold_uncertainty_score":0.8956419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564927850547889,"score_gpt":0.2053187810430854,"score_spread":0.1496695025376065,"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."}}