{"id":"W6958613215","doi":"10.6084/m9.figshare.3203743","title":"Adams_UrbanEmissions.pptx","year":2016,"lang":"en","type":"other","venue":"Figshare","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Component (thermodynamics); Social benefits; Big 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000603165,0.0005451117,0.000317975,0.001199599,0.003105666,0.004087942,0.0008681613,0.001058664,0.851588],"category_scores_gemma":[0.002044591,0.0003407809,0.0004197877,0.002220369,0.0006581685,0.00186017,0.00379808,0.00160586,0.4837778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002075574,"about_ca_system_score_gemma":0.001916321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04029762,"about_ca_topic_score_gemma":0.145431,"domain_scores_codex":[0.9995152,0.00005870849,0.00001128168,0.0000387071,0.0002684823,0.0001076943],"domain_scores_gemma":[0.9991049,0.0001415387,0.00003514795,0.0001100434,0.0002884864,0.0003198657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001323529,0.000008794553,0.00009781851,0.00003937819,8.818635e-7,0.00002866836,0.0001096744,0.00001589878,0.00003332595,0.002512937,0.9826171,0.01452233],"study_design_scores_gemma":[0.000003563419,0.000002319385,0.000306339,0.00003009345,5.970562e-7,0.00001337103,0.0001438834,0.00001012258,0.00005774524,0.0003478326,0.9990815,0.000002621161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003531461,0.0002311093,0.0002434554,0.002043562,0.0008997332,0.00005877478,0.01111085,0.001106481,0.9839528],"genre_scores_gemma":[0.003553542,0.0003054699,0.0002607222,0.0007456734,0.0002093272,0.0000598765,0.003916323,0.001005998,0.989943],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.148412,"threshold_uncertainty_score":0.2116918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1865940972984857,"score_gpt":0.4425352424610267,"score_spread":0.255941145162541,"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."}}