{"id":"W7015494440","doi":"","title":"Tesla loses thousands of dollars on every car sold","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Electric cars; Car model; Production (economics); Market share","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":[],"category_scores_codex":[0.0006257909,0.0009000122,0.0004242296,0.002542569,0.004258706,0.008075693,0.0006531451,0.001480169,0.45563],"category_scores_gemma":[0.002842046,0.000440279,0.0005455529,0.001888687,0.0005389235,0.003781087,0.002350325,0.002153105,0.3419146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003550032,"about_ca_system_score_gemma":0.003427631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04565118,"about_ca_topic_score_gemma":0.06550265,"domain_scores_codex":[0.9988983,0.00005909522,0.00003366778,0.0001032144,0.0006554417,0.0002502422],"domain_scores_gemma":[0.998679,0.00008959648,0.0000552785,0.0001211569,0.0006151972,0.0004398606],"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":[0.00001299711,0.00001197235,0.0001257184,0.00001418715,0.000001401368,0.00001853609,0.00002267429,0.0000164976,0.00004872448,0.001714262,0.9887514,0.009261639],"study_design_scores_gemma":[0.000004118301,0.000009938618,0.0006835795,0.00002342863,0.000002315866,0.00005052935,0.0001239416,0.00003906762,0.0001545801,0.0002074774,0.9986948,0.000006192789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002291405,0.0006285573,0.0002110192,0.003094278,0.001460378,0.00003559628,0.005566201,0.001788394,0.9849242],"genre_scores_gemma":[0.005174786,0.0004010553,0.0000777774,0.0008568228,0.000175842,0.00001889623,0.003046526,0.0004130626,0.9898352],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.45563,"threshold_uncertainty_score":0.7764778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061237919946834,"score_gpt":0.2622114717377717,"score_spread":0.2415990925383034,"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."}}