{"id":"W7083003238","doi":"10.5281/zenodo.17188309","title":"aluisayala/fossil-ledger: fossil tags","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fuzzy and Soft Set Theory","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Public Health","funders":"","keywords":"Fossil Record; Fossil fuel; Computation; Cognition; Tone (literature); Compression (physics)","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":[0.0007760359,0.003838303,0.001171753,0.002001156,0.0007987284,0.003173968,0.002589651,0.001537522,0.1468224],"category_scores_gemma":[0.004020041,0.002092055,0.002540724,0.001802777,0.0006331369,0.004521936,0.003696084,0.00211895,0.1200456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553738,"about_ca_system_score_gemma":0.0009938083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005220904,"about_ca_topic_score_gemma":0.006946078,"domain_scores_codex":[0.9994283,0.00004254652,0.00004340148,0.0003131252,0.0001127495,0.00005987103],"domain_scores_gemma":[0.9990403,0.0002455302,0.00006511289,0.000413791,0.0001907381,0.00004443499],"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":[0.001518422,0.0001210227,0.00654153,0.001672065,0.0002592517,0.0002767761,0.0003619117,0.004158027,0.004919397,0.008672654,0.879272,0.09222685],"study_design_scores_gemma":[0.0004112797,0.00008385526,0.0049229,0.0002882026,0.0001142547,0.0003122901,0.0002032134,0.02724829,0.03037396,0.02467599,0.9111367,0.0002289931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"other","genre_scores_codex":[0.002665538,0.0001991527,0.03995337,0.0001865463,0.0002553126,0.00006750668,0.08019618,0.868955,0.007521383],"genre_scores_gemma":[0.06034794,0.0004884224,0.1337423,0.000957887,0.0001911063,0.0008222493,0.3947445,0.3758232,0.03288238],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8531776,"threshold_uncertainty_score":0.4911698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0729710410139496,"score_gpt":0.3270284992467019,"score_spread":0.2540574582327523,"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."}}