{"id":"W6893645637","doi":"10.5281/zenodo.3608611","title":"The DataLad Handbook","year":2023,"lang":"en","type":"book","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Concordia University; Montreal Neurological Institute and Hospital; McGill University","funders":"","keywords":"Work (physics); Resource (disambiguation); Context (archaeology); Data collection","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003994378,0.001316728,0.001172849,0.007558567,0.001453963,0.008737658,0.00351015,0.002114654,0.2032588],"category_scores_gemma":[0.01788421,0.001820019,0.001173102,0.01264217,0.0007356419,0.008979843,0.003863997,0.003726677,0.284423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255027,"about_ca_system_score_gemma":0.004812577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006062927,"about_ca_topic_score_gemma":0.005958721,"domain_scores_codex":[0.9955372,0.0005890418,0.0006231077,0.0004160031,0.002627836,0.0002068776],"domain_scores_gemma":[0.989679,0.003510964,0.0003692463,0.002329988,0.003573142,0.0005377356],"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":[0.00002132262,0.00002665645,0.0001130217,0.0004761974,0.000005680984,0.00004437329,0.0001060207,0.0002165154,0.0003263441,0.01316125,0.8568854,0.1286173],"study_design_scores_gemma":[0.000003117202,0.000002656391,0.00005296795,0.00009964003,0.000001695559,0.00007064646,0.0000158075,0.00007319049,0.0001412682,0.001914697,0.9976175,0.000006800911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.0009430109,0.01449032,0.1272942,0.006600937,0.003491366,0.001045423,0.130032,0.05435229,0.6617505],"genre_scores_gemma":[0.004500604,0.02056588,0.127869,0.005505165,0.0009151042,0.001491921,0.2352744,0.03411259,0.5697653],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9964898,"threshold_uncertainty_score":0.6799685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1012871762112151,"score_gpt":0.2982868790680173,"score_spread":0.1969997028568022,"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."}}