{"id":"W6949199026","doi":"10.5281/zenodo.14165957","title":"fmi-faim/faim-ipa: faim-ipa-0.9.1","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002310823,0.003579367,0.002438509,0.003588838,0.001699446,0.00359363,0.005763224,0.002727893,0.2413308],"category_scores_gemma":[0.005667272,0.001995512,0.00146686,0.002675518,0.000920685,0.003700858,0.003215827,0.002715794,0.2843886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733234,"about_ca_system_score_gemma":0.001586398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003843807,"about_ca_topic_score_gemma":0.005696293,"domain_scores_codex":[0.9983987,0.0001530899,0.0001193116,0.0003853623,0.0006854025,0.0002581115],"domain_scores_gemma":[0.9981031,0.0003612779,0.000169583,0.0005384852,0.0006262332,0.0002012919],"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":[0.0002783858,0.00005580661,0.0004064396,0.0006129749,0.00006889514,0.0001034631,0.0001325502,0.0009717059,0.01500875,0.005753328,0.9170837,0.05952402],"study_design_scores_gemma":[0.0001215847,0.00004220505,0.001190512,0.0001527255,0.00006073714,0.0006209308,0.00004237501,0.01062067,0.05053832,0.006768524,0.9296442,0.0001972241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.002452908,0.0006493172,0.2618116,0.0006596603,0.0004341309,0.0003087043,0.1248574,0.5374808,0.07134547],"genre_scores_gemma":[0.01734431,0.0006942798,0.2914025,0.0008343761,0.0002213494,0.001408567,0.2223611,0.392268,0.07346579],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2413308,"threshold_uncertainty_score":0.8073321,"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."}}