{"id":"W6968753945","doi":"10.5281/zenodo.3665755","title":"MINTED: Making Identifiers Necessary for Tracking Evolving Data","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Software; Tracking (education); Identification (biology); Identifier; Software development; Tracking system","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01943222,0.002735512,0.001958976,0.007875142,0.001375278,0.009478829,0.006708662,0.00297211,0.03591105],"category_scores_gemma":[0.1117642,0.002697815,0.002415683,0.005072218,0.001977454,0.01258442,0.006325744,0.005291419,0.02849182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361961,"about_ca_system_score_gemma":0.005321902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00876984,"about_ca_topic_score_gemma":0.01181789,"domain_scores_codex":[0.9876382,0.002806448,0.001809465,0.001149803,0.005993316,0.0006026686],"domain_scores_gemma":[0.9060743,0.04145494,0.004643711,0.02438974,0.02024623,0.003191115],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000720136,0.0001180753,0.003943125,0.001173647,0.0001883199,0.0003880168,0.0004730868,0.001357704,0.003209651,0.007761872,0.7233385,0.2573279],"study_design_scores_gemma":[0.0002626901,0.0001319442,0.003016823,0.001002943,0.0002431131,0.000620932,0.000165107,0.008279976,0.009241753,0.01002708,0.9668152,0.0001923178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01229319,0.01261018,0.552851,0.01995578,0.02037709,0.001007412,0.07433386,0.2876489,0.01892259],"genre_scores_gemma":[0.03037348,0.008842352,0.6655325,0.007417175,0.004118795,0.001363992,0.1720249,0.05722775,0.05309907],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9805678,"threshold_uncertainty_score":0.1201344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4359423745499673,"score_gpt":0.4156393998529078,"score_spread":0.02030297469705944,"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."}}