{"id":"W7084154105","doi":"10.64000/wwybx-pnw51","title":"Event Data as Underlying Altmetrics Infrastructure at the 4:AM Altmetrics Conference","year":2017,"lang":"en","type":"article","venue":"","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Altmetrics; Event (particle physics); Watson; Event data","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"],"consensus_categories":[],"category_scores_codex":[0.01760014,0.001339263,0.001060179,0.004832674,0.002095716,0.01188802,0.002992054,0.001965766,0.06810138],"category_scores_gemma":[0.03780194,0.001197755,0.001114394,0.006094575,0.001224102,0.009784505,0.00703777,0.004205571,0.04766626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003535139,"about_ca_system_score_gemma":0.005613748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02613732,"about_ca_topic_score_gemma":0.02110055,"domain_scores_codex":[0.99049,0.001670253,0.0007060087,0.001178087,0.005182849,0.0007728953],"domain_scores_gemma":[0.9650946,0.004837482,0.001758017,0.01196731,0.01233959,0.004002905],"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":[0.0005108554,0.0001077594,0.006986769,0.0002081952,0.00006654222,0.0001078757,0.0006333673,0.002764164,0.002054976,0.01858409,0.881612,0.08636335],"study_design_scores_gemma":[0.00006839642,0.00004681307,0.005837424,0.0001369302,0.00002275828,0.00003977326,0.0004043178,0.01121897,0.00253758,0.01143062,0.9681699,0.00008660658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.01417675,0.001015235,0.2326453,0.0239722,0.005850707,0.001290942,0.2060219,0.3699738,0.1450531],"genre_scores_gemma":[0.1996601,0.001373587,0.2167469,0.004872153,0.002836168,0.001229596,0.4282301,0.05863494,0.08641644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9951673,"threshold_uncertainty_score":0.2278218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2493186182027273,"score_gpt":0.4180707584680118,"score_spread":0.1687521402652845,"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."}}