{"id":"W2944424628","doi":"10.1371/journal.pone.0216625","title":"Using selfies to challenge public stereotypes of scientists","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Data science; Computer science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005723912,0.0003080886,0.0001875626,0.0005980181,0.001699944,0.001712751,0.0002863164,0.0006270419,0.004085254],"category_scores_gemma":[0.01530698,0.0001676897,0.0002067238,0.0002858993,0.001444059,0.001498188,0.002134583,0.001093058,0.0003862698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006003881,"about_ca_system_score_gemma":0.0005480865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357427,"about_ca_topic_score_gemma":0.002371372,"domain_scores_codex":[0.9970216,0.002052191,0.00007830973,0.0002505924,0.0003905025,0.0002067084],"domain_scores_gemma":[0.9782885,0.01352517,0.004328699,0.001758324,0.001098418,0.001000743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004906279,0.005126873,0.3852829,0.0009592163,0.0002242432,0.0006307443,0.3520457,0.0007811303,0.08128543,0.01264828,0.006690556,0.1494186],"study_design_scores_gemma":[0.0006177989,0.00832695,0.584847,0.0004920269,0.0003215195,0.0005987632,0.2716134,0.004918619,0.04448669,0.01026076,0.07326602,0.0002503666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993432,0.00002295998,0.0007546155,0.0002952072,0.00002347126,0.00004016396,0.00003879242,0.00001187555,0.005380954],"genre_scores_gemma":[0.9975225,0.00003998796,0.0007764231,0.0002825657,0.00002784475,0.0001201957,0.00004455175,0.000008485466,0.001177312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9983001,"threshold_uncertainty_score":0.03027129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7813753932500962,"score_gpt":0.4524319057509119,"score_spread":0.3289434874991843,"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."}}