{"id":"W6936014278","doi":"10.57745/kqgogj","title":"HALLO contributor 2020 accounts.xls","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":"Data collection; Agency (philosophy); Government (linguistics); 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":[0.001073978,0.001654643,0.001222743,0.007275093,0.0007805125,0.003612795,0.001502686,0.001527791,0.2823666],"category_scores_gemma":[0.009071225,0.00084693,0.0009842827,0.01270054,0.000363591,0.002124662,0.001740532,0.001563028,0.2503954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944288,"about_ca_system_score_gemma":0.00323514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04045825,"about_ca_topic_score_gemma":0.05556031,"domain_scores_codex":[0.9987481,0.0001641915,0.0001580587,0.0003174147,0.0003642181,0.0002479449],"domain_scores_gemma":[0.9960752,0.001232798,0.0005034485,0.0007336955,0.001157019,0.0002977519],"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":[0.00002157572,0.000004846342,0.0002983533,0.0002336718,0.000007448537,0.000005878695,0.00001118205,0.00007281166,0.00002161864,0.0003419224,0.9978968,0.001083859],"study_design_scores_gemma":[0.00006975723,0.000004835568,0.002291379,0.0002006442,0.000008421163,0.00001472108,0.00005225422,0.00007369449,0.00007964725,0.0005751834,0.996615,0.00001451733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002403552,0.00002007705,0.00001077809,0.00003539906,0.00001315822,0.000002548625,0.9991248,0.00008786521,0.0006813399],"genre_scores_gemma":[0.0002884882,0.00005960978,0.0001149736,0.00004734574,0.00001538966,0.00003772518,0.9972723,0.000112535,0.002051582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7176334,"threshold_uncertainty_score":0.9446103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3725525141341499,"score_gpt":0.451325334620224,"score_spread":0.07877282048607409,"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."}}