{"id":"W6911947178","doi":"10.5281/zenodo.13898592","title":"fmi-faim/faim-ipa: faim-ipa-0.7.0","year":2024,"lang":"en","type":"other","venue":"Edinburgh Research Explorer (University of Edinburgh)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Image processing; Digital imaging; Data processing; Image segmentation; Data collection","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.007129924,0.002222555,0.003198584,0.01249773,0.0009349555,0.0004448868,0.006371449,0.002843358,0.2907392],"category_scores_gemma":[0.001236871,0.002620232,0.001798503,0.007880894,0.005057541,0.001385836,0.005485909,0.007067826,0.01661057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002086798,"about_ca_system_score_gemma":0.002280886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006295969,"about_ca_topic_score_gemma":0.001083734,"domain_scores_codex":[0.9800434,0.0008550273,0.00113472,0.004474757,0.008761707,0.004730388],"domain_scores_gemma":[0.9889741,0.001087924,0.00101093,0.004512619,0.002032484,0.002381951],"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":[0.0005640906,0.000663397,0.0001980351,0.0003873466,0.001978839,0.002543651,0.006631785,0.000007549601,0.00105713,0.0007954907,0.9836022,0.001570441],"study_design_scores_gemma":[0.002439747,0.000663818,0.00003455512,0.003383264,0.0006137409,0.00004731607,0.02748048,0.0002823813,0.000208316,0.004525277,0.9580781,0.002242935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001139179,0.01026384,0.0003556161,0.00313488,0.006841777,0.003509043,0.002321045,0.003282311,0.9691523],"genre_scores_gemma":[0.009838246,0.004313643,0.001247883,0.00005722155,0.007101209,0.00004756793,0.0005335582,0.00340541,0.9734553],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2741287,"threshold_uncertainty_score":0.9990515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1241658619926088,"score_gpt":0.3454698181706748,"score_spread":0.221303956178066,"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."}}