{"id":"W4398439661","doi":"10.7910/dvn/k0oyqf/qmcozt","title":"labels.py","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009635485,0.0006277733,0.0006846148,0.00004569961,0.0001435502,0.000101804,0.001248435,0.0007251516,0.1149499],"category_scores_gemma":[0.0003172014,0.0006481989,0.0002387931,0.0001103039,0.0001354615,0.0001130097,0.001046207,0.000825253,0.07649471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396939,"about_ca_system_score_gemma":0.0001812675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007159475,"about_ca_topic_score_gemma":0.00001142324,"domain_scores_codex":[0.9977625,0.00001205321,0.0004459112,0.0008757063,0.0003930337,0.000510795],"domain_scores_gemma":[0.9964708,0.0001628684,0.0002701985,0.002868627,0.00009541847,0.0001320714],"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":[0.00006044683,0.0001095902,0.0000147303,0.003014894,0.0003292632,0.0001002525,0.000007008245,9.719222e-7,0.002935848,0.000001815248,0.9933308,0.00009438846],"study_design_scores_gemma":[0.0006333071,0.000005512088,8.588084e-7,0.0004306124,0.000289056,0.00002078009,0.00007787102,0.000003004515,0.0134158,0.000008099687,0.9844808,0.0006342948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006863426,0.00001010705,9.166292e-7,0.000006927449,0.0004123305,0.00006954976,0.965551,0.00007655555,0.03380393],"genre_scores_gemma":[0.00002017371,0.0006116027,0.00003193005,0.0001951941,0.0005077919,0.00003090723,0.9438425,0.00002084669,0.05473911],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03845524,"threshold_uncertainty_score":0.999597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140538974875928,"score_gpt":0.2479252989903419,"score_spread":0.2265199092415826,"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."}}