{"id":"W6930437435","doi":"10.5281/zenodo.12502909","title":"aim rules for companies 2023 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Animal health and immunology","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remuneration; Incentive; Database transaction; Work (physics); Payment; Download; Government (linguistics); Incentive program","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007020756,0.001418203,0.0007894619,0.005096341,0.002738702,0.01506717,0.003826015,0.01024762,0.2733964],"category_scores_gemma":[0.01829195,0.002206326,0.001926046,0.00330528,0.0007284262,0.00734809,0.003906894,0.005848144,0.3668044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003906862,"about_ca_system_score_gemma":0.006325681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01551696,"about_ca_topic_score_gemma":0.01752917,"domain_scores_codex":[0.9888316,0.0007929856,0.0009095101,0.0005803853,0.007664331,0.001221067],"domain_scores_gemma":[0.9858838,0.002357233,0.001138341,0.0017472,0.007718618,0.001154773],"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":[0.00002856358,0.00005944946,0.0002318608,0.0001093409,0.000003380679,0.00006463199,0.00003227332,0.0002185886,0.0001877004,0.01238949,0.964802,0.02187265],"study_design_scores_gemma":[0.0000216236,0.00001733888,0.001008938,0.0001473496,0.000003114503,0.00004659935,0.00002738233,0.000153437,0.000147422,0.002296752,0.9961058,0.00002409514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009628719,0.0007617561,0.003936121,0.00488556,0.001845301,0.001121272,0.01948138,0.004815184,0.9621905],"genre_scores_gemma":[0.008454066,0.001429371,0.006819337,0.01316612,0.00119387,0.00194395,0.0378293,0.002019645,0.9271442],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7266036,"threshold_uncertainty_score":0.9146021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08918985735741486,"score_gpt":0.3278359868439932,"score_spread":0.2386461294865784,"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."}}