{"id":"W6930635127","doi":"10.5281/zenodo.14197873","title":"clEsperanto/CLIc: 0.16.0","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal Nutrition and Physiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Closing (real estate); Rework; Context (archaeology); Work (physics); Key (lock)","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":[0.003361573,0.003961508,0.001784032,0.002795934,0.001560797,0.00756638,0.007078282,0.0036841,0.6109357],"category_scores_gemma":[0.0120696,0.003118007,0.001989708,0.001735624,0.001276579,0.008357003,0.006110705,0.004453434,0.7379165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003036455,"about_ca_system_score_gemma":0.002288304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004961713,"about_ca_topic_score_gemma":0.00379571,"domain_scores_codex":[0.996933,0.0003137986,0.0002142651,0.0006273402,0.001399476,0.00051211],"domain_scores_gemma":[0.9938207,0.0006384003,0.0002114515,0.002651042,0.00209037,0.0005880489],"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":[0.0002461731,0.00003060589,0.0001840202,0.0003041825,0.00002225068,0.00005763961,0.00006564107,0.0002437569,0.001718889,0.003022519,0.9560071,0.03809711],"study_design_scores_gemma":[0.00007242331,0.00002484606,0.0002910513,0.000101701,0.00001131548,0.0001377969,0.00002142614,0.0006684976,0.004972956,0.002239842,0.9913994,0.00005875112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0005380919,0.0005040842,0.03082632,0.0006011343,0.001006526,0.0002542599,0.01781495,0.8234744,0.1249802],"genre_scores_gemma":[0.009804796,0.0004692324,0.01934344,0.001534679,0.0003299956,0.0004408316,0.04370119,0.7124298,0.2119461],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6109357,"threshold_uncertainty_score":0.554953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04040143029450072,"score_gpt":0.2391195079063369,"score_spread":0.1987180776118362,"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."}}