{"id":"W6968005734","doi":"10.5281/zenodo.13773057","title":"frictionlessdata/datapackage: v1.0","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Set (abstract data type); Simple (philosophy); Reusability; Data set; Data manipulation language; Data modeling","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":[],"consensus_categories":[],"category_scores_codex":[0.005956414,0.0025793,0.001671883,0.006323838,0.001229969,0.004675297,0.004744599,0.001999395,0.1835638],"category_scores_gemma":[0.01759835,0.002948639,0.001882633,0.007659369,0.0008994906,0.004348051,0.005579573,0.003232638,0.2523834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001835645,"about_ca_system_score_gemma":0.00391174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008822285,"about_ca_topic_score_gemma":0.006709753,"domain_scores_codex":[0.9969898,0.00052257,0.000524846,0.0005117125,0.001127344,0.0003236772],"domain_scores_gemma":[0.9930315,0.001973789,0.0005078294,0.002856493,0.001229583,0.0004007787],"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":[0.0002527596,0.00006467168,0.001259214,0.0008707686,0.00005870459,0.0001006187,0.0002471169,0.000858881,0.001797384,0.01209587,0.9391764,0.04321767],"study_design_scores_gemma":[0.00006645126,0.00001549591,0.0007057808,0.0001090416,0.00001499028,0.00009729197,0.00003434808,0.0008584921,0.002962667,0.006401273,0.9886851,0.00004918653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0009669785,0.000344469,0.1266295,0.0005021786,0.0002952701,0.0005731311,0.6539072,0.1914258,0.02535543],"genre_scores_gemma":[0.00580357,0.0003761585,0.06126139,0.0005456469,0.00009718265,0.001612033,0.8075511,0.1005585,0.02219425],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1835638,"threshold_uncertainty_score":0.6140821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0635322135779993,"score_gpt":0.3032887934948611,"score_spread":0.2397565799168618,"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."}}