{"id":"W6917580175","doi":"10.57745/3gy1b8","title":"GL 2023 sample dataset.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":"Metadata; Sample (material); Thesaurus; Subject (documents); Term (time); Jury","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":[0.001523168,0.001748786,0.001088402,0.004403889,0.001098717,0.002507762,0.002301713,0.002147131,0.121866],"category_scores_gemma":[0.008147581,0.0006302999,0.001399211,0.008307591,0.0005002138,0.001533325,0.001781104,0.001887277,0.1614289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002378676,"about_ca_system_score_gemma":0.002805829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03676412,"about_ca_topic_score_gemma":0.06621975,"domain_scores_codex":[0.9983694,0.0003314136,0.000222845,0.0004129813,0.0003869333,0.0002765214],"domain_scores_gemma":[0.9967797,0.001061375,0.0002653788,0.0006630729,0.0009371721,0.0002933394],"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":[0.00004772476,0.00002358411,0.0007133834,0.0003493085,0.00001698353,0.00001713933,0.00002088442,0.0001710867,0.00008637947,0.0003462703,0.9963195,0.001887809],"study_design_scores_gemma":[0.0002411118,0.00002717373,0.004575456,0.0002433656,0.00002229106,0.00005565073,0.0001701868,0.0003028791,0.0002542016,0.0009150892,0.9931666,0.00002597346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001415794,0.00003901041,0.00003958753,0.00007987313,0.00002100726,0.0000105724,0.9989067,0.0001930643,0.0005687322],"genre_scores_gemma":[0.0003067846,0.00002463898,0.0001996965,0.00004970275,0.000006440002,0.00005935595,0.998689,0.0000394196,0.0006250041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.878134,"threshold_uncertainty_score":0.4076824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5223556239026859,"score_gpt":0.4752339006119166,"score_spread":0.0471217232907693,"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."}}