{"id":"W6931183745","doi":"10.5281/zenodo.4568306","title":"Choose your own adventure to a reproducible scientific article: learnings from ReproHack","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Best practice; Sandbox (software development); Adventure; Code (set theory); Event (particle physics); Turing; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008161909,0.0001547063,0.0002094882,0.0004514419,0.003417974,0.008618359,0.002535273,0.00005445165,0.03135518],"category_scores_gemma":[0.02634036,0.0001431747,0.00009402534,0.004066111,0.0001755668,0.0004867137,0.0053853,0.0003161156,0.05539125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025295,"about_ca_system_score_gemma":0.00001558251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003027194,"about_ca_topic_score_gemma":0.000001773278,"domain_scores_codex":[0.9940155,0.0007131022,0.0005700286,0.002383302,0.001810875,0.0005072512],"domain_scores_gemma":[0.9938393,0.0001157607,0.0001935353,0.003606346,0.001869205,0.0003759023],"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":[0.00002645236,0.0001191024,0.00003062739,0.000004623852,0.00001575286,0.00003673387,0.00226619,0.0004446758,0.007927212,0.0006154174,0.640294,0.3482192],"study_design_scores_gemma":[0.0002752385,0.00004919635,0.005106245,0.00002752292,0.00001016749,0.00003102284,0.002330112,0.001243405,0.002601377,0.001853166,0.9862952,0.0001773428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8830477,0.0002564052,0.01926916,0.01098848,0.001980834,0.0007217798,0.0004536092,0.001344811,0.08193721],"genre_scores_gemma":[0.9406684,0.00000845762,0.003631624,0.0006622092,0.0003787379,9.58773e-8,0.001429847,0.0005808912,0.05263975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3480419,"threshold_uncertainty_score":0.9978794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1519292889917676,"score_gpt":0.3492396374683039,"score_spread":0.1973103484765363,"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."}}