{"id":"W6958493357","doi":"10.6084/m9.figshare.14915873","title":"A carbon footprint study of the Canadian medical residency interview tour","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Greenhouse gas; Scale (ratio); Footprint; Carbon fibers; Interview","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":[0.002613066,0.0004932313,0.0002986538,0.001805949,0.004786144,0.001428015,0.001613584,0.0006105603,0.003282721],"category_scores_gemma":[0.008716677,0.0003685661,0.0005613902,0.005232995,0.001318326,0.000841014,0.001462727,0.0009232875,0.0002117781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05276372,"about_ca_system_score_gemma":0.02903224,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9787304,"about_ca_topic_score_gemma":0.9887234,"domain_scores_codex":[0.9971337,0.0006288851,0.0000654394,0.0002464089,0.001118543,0.0008069256],"domain_scores_gemma":[0.9944615,0.00156192,0.0008616808,0.0001950851,0.002286696,0.0006330571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004391556,0.0007214305,0.89011,0.0003774586,0.0001833825,0.0005672402,0.04823043,0.002767917,0.0008434824,0.003647778,0.006395431,0.04571641],"study_design_scores_gemma":[0.00002269745,0.0001862277,0.9295038,0.0001315065,0.00004813802,0.00006868661,0.0585026,0.002852751,0.0002364134,0.0002933919,0.008085955,0.00006783967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917241,0.000190578,0.0003123315,0.0005004182,0.00001029667,0.0001494632,0.001441563,0.000006122569,0.005665082],"genre_scores_gemma":[0.9959201,0.0002876605,0.0005464612,0.0002613662,0.000007679079,0.0001252649,0.001346464,0.00001025785,0.001494708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05276372,"threshold_uncertainty_score":0.3828294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03856335808397728,"score_gpt":0.2853613287412218,"score_spread":0.2467979706572446,"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."}}