{"id":"W7022412765","doi":"","title":"The beast in me","year":2011,"lang":"en","type":"other","venue":"London School of Economics and Political Science Research Online (London School of Economics and Political Science)","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Journalism; Work (physics); Agency (philosophy); Theme (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":[],"consensus_categories":[],"category_scores_codex":[0.001564285,0.0007557631,0.0005657473,0.0009341264,0.01255135,0.01164395,0.0009495924,0.002615547,0.2507079],"category_scores_gemma":[0.008216584,0.0003232189,0.0004909502,0.001039704,0.003404626,0.008612094,0.00663887,0.007020513,0.1371575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003692337,"about_ca_system_score_gemma":0.00520308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03727276,"about_ca_topic_score_gemma":0.0919617,"domain_scores_codex":[0.9981139,0.0004536668,0.00003576348,0.0002307874,0.0006948497,0.0004710155],"domain_scores_gemma":[0.9954761,0.0002588982,0.0001415269,0.0002576578,0.001226578,0.002639202],"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":[0.00001154717,0.00001138104,0.000182922,0.00002525849,0.000002192892,0.0001080703,0.002992,0.000008137813,0.00008170298,0.01325048,0.9659466,0.01737953],"study_design_scores_gemma":[0.000001069191,0.000002705657,0.00009172456,0.00003373763,6.538344e-7,0.00006339956,0.002123529,0.000003802747,0.00001621518,0.0008178506,0.9968418,0.000003461318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00198372,0.005775996,0.001122545,0.1181073,0.02494523,0.00005418036,0.0005324724,0.0005645413,0.846914],"genre_scores_gemma":[0.01151364,0.001775985,0.0003980084,0.02009535,0.00160009,0.00002548464,0.0001668645,0.0004698419,0.9639547],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2507079,"threshold_uncertainty_score":0.8387015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575667142032379,"score_gpt":0.3029101141225501,"score_spread":0.2771534427022264,"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."}}