{"id":"W4322756690","doi":"10.5281/zenodo.7691326","title":"Condensed Results Report of PROTECT's Legal Research","year":2023,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"European Law and Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Computer security; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02167831,0.0002532825,0.000434006,0.0008365049,0.005143528,0.001125026,0.00181511,0.0003736766,0.00385973],"category_scores_gemma":[0.02749372,0.0002754916,0.0001744136,0.001987054,0.001158717,0.0003258216,0.001437682,0.001252456,0.00692119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008002676,"about_ca_system_score_gemma":0.0003388531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004317448,"about_ca_topic_score_gemma":0.0001242336,"domain_scores_codex":[0.990398,0.002987074,0.001051703,0.000962651,0.003744587,0.0008560002],"domain_scores_gemma":[0.9894882,0.0001999071,0.0007142869,0.001109102,0.00816669,0.0003217941],"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":[0.0001268536,0.0001128409,7.682877e-7,0.0002254942,0.00007821275,0.0005089169,0.003736464,0.000007857396,0.000804068,0.006990381,0.9634131,0.02399506],"study_design_scores_gemma":[0.0003667467,0.0002559065,0.0001502014,0.0002451405,0.00002562804,0.0001809208,0.002034286,0.000006326507,0.000183617,0.0001517159,0.9961376,0.0002618963],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002976678,0.0001136404,0.0000814775,0.001529525,0.0006757465,0.001707397,0.0007120047,0.001297769,0.9909058],"genre_scores_gemma":[0.3052714,0.003490535,0.0002574116,0.00005572774,0.00400665,8.437216e-7,0.01612383,0.006891584,0.663902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3270037,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.23443764393457,"score_gpt":0.3999884274836882,"score_spread":0.1655507835491182,"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."}}