{"id":"W6912840911","doi":"10.5281/zenodo.8136790","title":"vfitoolkit/VFIToolkit-matlab: v2.2","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Distribution (mathematics); Work (physics); Noise (video); Process (computing); Field (mathematics)","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":[0.001253364,0.003050926,0.001339256,0.001770852,0.0008174988,0.003260242,0.004616513,0.002003271,0.291021],"category_scores_gemma":[0.00872519,0.001561128,0.001290329,0.001178788,0.0008330973,0.0033927,0.002780663,0.002829036,0.2796302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935267,"about_ca_system_score_gemma":0.001757911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008811983,"about_ca_topic_score_gemma":0.009893705,"domain_scores_codex":[0.9989422,0.0001460002,0.00007380108,0.0002689997,0.0003830253,0.000185971],"domain_scores_gemma":[0.9973403,0.0007409521,0.0001624396,0.000605539,0.000959931,0.000190846],"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":[0.0003367714,0.00007419032,0.0008278561,0.0006323889,0.0001037997,0.0001698974,0.0001755238,0.007933076,0.003732702,0.0125121,0.8954245,0.07807721],"study_design_scores_gemma":[0.0005022101,0.00005309459,0.001067482,0.0003081425,0.00008070811,0.0003731957,0.00007989879,0.09443288,0.03679507,0.02233014,0.8437499,0.0002272671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001378027,0.0002379608,0.1889842,0.0004423787,0.000349265,0.0001117317,0.02245738,0.7392986,0.04674037],"genre_scores_gemma":[0.0333381,0.0003009854,0.1231477,0.001061542,0.0001600197,0.0005229449,0.04367995,0.7073405,0.09044839],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.291021,"threshold_uncertainty_score":0.9735622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03937166188748238,"score_gpt":0.2572240233314999,"score_spread":0.2178523614440175,"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."}}