{"id":"W6950366617","doi":"10.5281/zenodo.7150794","title":"SchlossLab/schtools: schtools 0.3.0","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Function (biology); Sample (material); Table (database); Taxonomy (biology)","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":[0.002582252,0.004422177,0.002445284,0.004513553,0.001864465,0.004602779,0.006161404,0.001847136,0.414225],"category_scores_gemma":[0.009596441,0.004147352,0.003196744,0.003348377,0.001014512,0.005515009,0.005173351,0.00420667,0.4774767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001896694,"about_ca_system_score_gemma":0.002708482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006430223,"about_ca_topic_score_gemma":0.009097778,"domain_scores_codex":[0.9979437,0.0002004537,0.0001710025,0.000634683,0.0006952316,0.0003549619],"domain_scores_gemma":[0.9965617,0.0009044681,0.0002853976,0.0009294588,0.001082618,0.0002364457],"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":[0.0003046346,0.00004580932,0.001061568,0.001075527,0.0001183461,0.00007528588,0.0002177393,0.0004110985,0.002047127,0.00177719,0.9634008,0.02946494],"study_design_scores_gemma":[0.000196352,0.00004631108,0.002477559,0.0002620069,0.00007315527,0.0001866999,0.000142397,0.002808907,0.01447332,0.0101395,0.9689432,0.000250611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0008285057,0.0002163481,0.03457018,0.0002257143,0.0002763403,0.0001665763,0.1459131,0.8077258,0.01007745],"genre_scores_gemma":[0.005586985,0.0002162232,0.03647219,0.0006896775,0.00008694871,0.0008342949,0.1625029,0.7738662,0.01974458],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.414225,"threshold_uncertainty_score":0.835537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03845008511665339,"score_gpt":0.2377333682198136,"score_spread":0.1992832831031602,"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."}}