{"id":"W7045432222","doi":"","title":"Analyst slashes Tesla Model 3 fourth quarter forecast by nearly 70%","year":2017,"lang":"en","type":"other","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Feature (linguistics); Window (computing); Term (time)","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":[0.001448252,0.0007125838,0.0005736989,0.001460992,0.0007383561,0.002993532,0.0006090513,0.00137606,0.04907575],"category_scores_gemma":[0.01308254,0.0003039414,0.0005849079,0.0006845542,0.0002264551,0.001705895,0.0008777196,0.002494558,0.03765994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542848,"about_ca_system_score_gemma":0.002510626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05637658,"about_ca_topic_score_gemma":0.05598816,"domain_scores_codex":[0.9987036,0.0001068159,0.00004514449,0.0001748333,0.0007922161,0.0001774152],"domain_scores_gemma":[0.9950135,0.001026251,0.0003961005,0.0005206476,0.002731917,0.0003115563],"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":[0.0003381177,0.00007000081,0.006551104,0.00004138043,0.00004190392,0.00007947652,0.00004788756,0.009893128,0.001033649,0.004556213,0.9215511,0.055796],"study_design_scores_gemma":[0.0001612913,0.0001859843,0.02200587,0.0002090683,0.0001205483,0.00009922323,0.0003210285,0.1230015,0.01105893,0.01580989,0.8269125,0.0001142076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1264848,0.002500944,0.03516681,0.06821367,0.01749462,0.0002161585,0.1014064,0.03150416,0.6170124],"genre_scores_gemma":[0.5524918,0.001405837,0.009012786,0.007601153,0.00469124,0.0001103822,0.08102443,0.004568349,0.3390941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05637658,"threshold_uncertainty_score":0.1641747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04236470298332677,"score_gpt":0.2384306867974098,"score_spread":0.196065983814083,"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."}}