{"id":"W6898670991","doi":"10.57745/uk6xab","title":"HAL-contributor-V2-enriched-standard-REQUESTS.txt","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":"Class (philosophy); Extraction (chemistry); Identification (biology); Matching (statistics); Process (computing)","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":[0.002109409,0.004562349,0.001862837,0.005114113,0.001405428,0.003742799,0.003030796,0.002707743,0.1834441],"category_scores_gemma":[0.01118497,0.001766367,0.002257364,0.004971466,0.0007882733,0.003467992,0.005043993,0.002246032,0.2528015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002716768,"about_ca_system_score_gemma":0.003058163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02884847,"about_ca_topic_score_gemma":0.03148981,"domain_scores_codex":[0.9973725,0.0004074927,0.0003243014,0.0007331928,0.0007647691,0.000397709],"domain_scores_gemma":[0.9934156,0.002221755,0.0002286544,0.002242227,0.001561407,0.0003302718],"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":[0.0001658269,0.00002056067,0.0004354738,0.0004397847,0.00002713496,0.000036261,0.00007525544,0.0002319304,0.0004974544,0.0007130817,0.9940259,0.003331321],"study_design_scores_gemma":[0.0002934455,0.00003040906,0.002149605,0.0001262476,0.00002272992,0.00009112939,0.0001911651,0.001900793,0.004160288,0.002293816,0.9886713,0.00006899503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003623063,0.00006280018,0.001420474,0.0001609186,0.00006963289,0.00006977867,0.9633565,0.0311922,0.003305276],"genre_scores_gemma":[0.001296802,0.00005124088,0.002050133,0.000106329,0.00001550682,0.0001988775,0.9886374,0.005550588,0.002093215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8165559,"threshold_uncertainty_score":0.6136817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3177615347663869,"score_gpt":0.4391727573763087,"score_spread":0.1214112226099218,"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."}}