{"id":"W6898794038","doi":"10.57745/ftk20g","title":"HALLO contributor 2010 2020 events.xlsx","year":2023,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Period (music); Data collection; Agency (philosophy); Context (archaeology); Focus (optics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001069276,0.001721823,0.001297965,0.006174566,0.000752399,0.003704216,0.001603812,0.001570818,0.2157804],"category_scores_gemma":[0.008482644,0.0007733068,0.001008297,0.0116435,0.0003532084,0.001763441,0.002012691,0.001541184,0.1991773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001812187,"about_ca_system_score_gemma":0.00350662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04509908,"about_ca_topic_score_gemma":0.06956182,"domain_scores_codex":[0.9988607,0.000141506,0.0001551844,0.0002973068,0.0003170642,0.0002281855],"domain_scores_gemma":[0.9968759,0.0008342878,0.0005146918,0.0005662314,0.0008697765,0.0003391131],"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":[0.00003048018,0.000005202929,0.0004037057,0.000254503,0.000008571335,0.000007125362,0.00001006634,0.00007870921,0.00002205292,0.0002869992,0.9978533,0.001039081],"study_design_scores_gemma":[0.0001185604,0.000008893456,0.004178139,0.0002466422,0.00001436197,0.0000197717,0.00007487294,0.0001001064,0.0001023979,0.0006402472,0.9944781,0.00001788287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003356628,0.00002526914,0.00001242857,0.00004585478,0.00001809398,0.000003272211,0.999168,0.00007526681,0.0006182143],"genre_scores_gemma":[0.0002954915,0.00005639693,0.00009835958,0.00004214949,0.00001934205,0.00003811686,0.9976268,0.00006423274,0.001759126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7842196,"threshold_uncertainty_score":0.7218575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3282106243232083,"score_gpt":0.4312535177823184,"score_spread":0.1030428934591101,"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."}}