{"id":"W6939630062","doi":"10.6084/m9.figshare.5601589.v1","title":"Altmetric_RajivNariani.pdf","year":2017,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Altmetrics; Identification (biology); Focus (optics); Process (computing)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002457424,0.0009660646,0.0007128769,0.005728044,0.001895898,0.01048348,0.001482393,0.001229656,0.7598162],"category_scores_gemma":[0.009244644,0.0006818092,0.0005464244,0.006018385,0.001115772,0.00561966,0.004278271,0.002051674,0.6689878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002231187,"about_ca_system_score_gemma":0.001879934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008331522,"about_ca_topic_score_gemma":0.01168004,"domain_scores_codex":[0.9981217,0.000214415,0.0000789372,0.0002399027,0.001173725,0.0001714059],"domain_scores_gemma":[0.9946456,0.0009608542,0.0003259398,0.001004683,0.002325781,0.0007371862],"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":[0.00001490892,0.000007397519,0.00009374132,0.00005477701,0.00000134129,0.0000139465,0.00005003181,0.00002904932,0.00004884878,0.003617136,0.962505,0.03356382],"study_design_scores_gemma":[0.000003614735,0.000002925359,0.0003108389,0.00005604789,0.000001112003,0.00001878471,0.00006332618,0.00003914812,0.0001401444,0.0008619521,0.9984952,0.000006984936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004358405,0.000781974,0.002725816,0.003099415,0.001923088,0.0001049453,0.0254391,0.01534001,0.9501498],"genre_scores_gemma":[0.004488251,0.00106913,0.002729865,0.0008497654,0.00112864,0.0001742012,0.01753477,0.01210607,0.9599193],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9975426,"threshold_uncertainty_score":0.342593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06842307588510636,"score_gpt":0.3582072294815425,"score_spread":0.2897841535964362,"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."}}