{"id":"W6987776377","doi":"","title":"Tyson Slocum: Big Oil, Hot Profits & Global Warming","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Global warming; Profit (economics); Profit margin; Renewable energy; For profit; Oil sands","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":[0.0002690612,0.0008692432,0.0002453606,0.001576663,0.002417375,0.003916886,0.0007108397,0.004073361,0.3937871],"category_scores_gemma":[0.0009352062,0.0004006827,0.0002155175,0.003069897,0.0006618098,0.003254444,0.001753183,0.002299001,0.241785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002404329,"about_ca_system_score_gemma":0.003003478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09510282,"about_ca_topic_score_gemma":0.2211099,"domain_scores_codex":[0.9997275,0.00002454886,0.000008070858,0.00002722198,0.0001422437,0.00007023483],"domain_scores_gemma":[0.9994288,0.00006949909,0.00004782979,0.00003199506,0.0002058756,0.0002160731],"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":[0.000003574193,0.000006724903,0.00003001292,0.00002792884,3.115699e-7,0.00002804636,0.00003135991,0.000009976843,0.00002551586,0.0009220369,0.9882929,0.01062159],"study_design_scores_gemma":[0.000002545177,0.000002972661,0.0004392453,0.00006879753,6.740575e-7,0.00002401577,0.00009879906,0.00001092544,0.00004600054,0.0002256881,0.9990765,0.000003826452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003492179,0.006070349,0.00009247498,0.008981967,0.001278875,0.00003797678,0.001307548,0.0004898158,0.9813918],"genre_scores_gemma":[0.001214525,0.00297426,0.00004517493,0.001510939,0.0002124538,0.00001620898,0.0003354132,0.0001394481,0.9935516],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3937871,"threshold_uncertainty_score":0.8646891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240819691206992,"score_gpt":0.2217857384043664,"score_spread":0.2093775414922965,"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."}}