{"id":"W2973147484","doi":"10.33137/ijidi.v3i4.32996","title":"Book Review: Measuring Research: What Everyone Needs to Know","year":2019,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Need to know; Data science; Computer science; Psychology; Sociology; Engineering ethics; Engineering; Computer security","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":[0.01467541,0.00102845,0.005234147,0.007212461,0.001666623,0.01064657,0.002476175,0.007094628,0.01900722],"category_scores_gemma":[0.1121355,0.00116086,0.001142735,0.008353902,0.003362944,0.006217013,0.002299156,0.008624794,0.01777358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005138271,"about_ca_system_score_gemma":0.01143607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004811054,"about_ca_topic_score_gemma":0.01241276,"domain_scores_codex":[0.9738144,0.008061544,0.002163876,0.0009268115,0.01446682,0.0005664974],"domain_scores_gemma":[0.815717,0.0714352,0.01161023,0.004699065,0.08921545,0.0073231],"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":[0.000009082402,0.00001469542,0.00007822575,0.000935469,0.00002414539,0.00002354817,0.00003215023,0.00002876094,0.00005061812,0.0004224954,0.9521115,0.04626933],"study_design_scores_gemma":[0.00002333093,0.00002935668,0.0005790075,0.005554953,0.00006223747,0.0002237731,0.0001072455,0.00008596573,0.00008291443,0.001797226,0.9914148,0.00003913375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"commentary","genre_scores_codex":[0.0003041716,0.5683186,0.00174205,0.2451848,0.1658378,0.0003068932,0.0003808048,0.0003697588,0.01755499],"genre_scores_gemma":[0.00513416,0.5417045,0.005979192,0.1756111,0.1693862,0.0007615968,0.000723989,0.000742813,0.09995647],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9853246,"threshold_uncertainty_score":0.07761192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1783760242973709,"score_gpt":0.4514883278249351,"score_spread":0.2731123035275642,"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."}}