{"id":"W6912612809","doi":"10.5281/zenodo.3607993","title":"Research metrics","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Join (topology); Research data; Quality (philosophy); Research methodology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.1687527,0.001874858,0.002627879,0.02555243,0.002997769,0.01222128,0.003889203,0.002266787,0.07994851],"category_scores_gemma":[0.418557,0.0009834325,0.003493846,0.02717623,0.00172781,0.01086819,0.008260211,0.00420079,0.0363314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01023771,"about_ca_system_score_gemma":0.02681929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0047027,"about_ca_topic_score_gemma":0.005561574,"domain_scores_codex":[0.7173632,0.1185013,0.05433244,0.01315669,0.09152187,0.005124539],"domain_scores_gemma":[0.5041752,0.116542,0.03562789,0.04074071,0.2840239,0.01889028],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004606881,0.0002108832,0.01047847,0.006154939,0.0003184787,0.00004419896,0.001166134,0.0004149948,0.000480797,0.0253398,0.5673474,0.3875832],"study_design_scores_gemma":[0.0001660875,0.0004131744,0.01370479,0.004489767,0.0002273711,0.0001460301,0.001239701,0.0005919765,0.0006706924,0.01416685,0.9640722,0.0001114862],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01092945,0.02267891,0.1588444,0.07174315,0.01411885,0.0422673,0.2202535,0.01451453,0.44465],"genre_scores_gemma":[0.1458316,0.01856287,0.3715515,0.02368997,0.005918041,0.1170143,0.1832984,0.007766825,0.1263664],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9744475,"threshold_uncertainty_score":0.89246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1159418619010258,"score_gpt":0.3235765044495099,"score_spread":0.2076346425484842,"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."}}