{"id":"W4398417792","doi":"10.7910/dvn/itvlik/in0zap","title":"F81AFC55","year":2020,"lang":"hi","type":"dataset","venue":"Harvard Dataverse","topic":"Fluorine in Organic Chemistry","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001477363,0.005459818,0.002522003,0.006509457,0.001253438,0.003825354,0.004225767,0.004439749,0.2893184],"category_scores_gemma":[0.008885789,0.001007045,0.002045616,0.008561398,0.0008581975,0.002048953,0.00271319,0.002136409,0.3636279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687555,"about_ca_system_score_gemma":0.003227314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02633625,"about_ca_topic_score_gemma":0.03001381,"domain_scores_codex":[0.9984792,0.0002633194,0.0001026489,0.0005634627,0.0003156812,0.0002757786],"domain_scores_gemma":[0.9968529,0.0008707279,0.0002846844,0.0008444956,0.0005702281,0.0005769022],"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":[0.00005588687,0.00001514283,0.0002016606,0.0003920918,0.00002039357,0.000008497599,0.000008521963,0.000204233,0.0000554883,0.0001896246,0.9973019,0.001546518],"study_design_scores_gemma":[0.0006829211,0.00005889402,0.001804552,0.0003715616,0.00006515536,0.00005108834,0.00005544619,0.000996648,0.0004200097,0.002445118,0.992997,0.00005169524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000682452,0.0001120622,0.0000612036,0.0000737367,0.00003489093,0.000008032631,0.9980251,0.0008212833,0.0007956151],"genre_scores_gemma":[0.0003004294,0.00008837282,0.0002145872,0.00009817606,0.0000184217,0.0000490033,0.9979596,0.0002149793,0.001056362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7106816,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07317467851807223,"score_gpt":0.3727226746964067,"score_spread":0.2995479961783345,"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."}}