{"id":"W4398420336","doi":"10.7910/dvn/3qbyb5/drkwwg","title":"product-540","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Product (mathematics); Computer science; Mathematics","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":[0.001198123,0.006931525,0.002553295,0.007459871,0.001280509,0.004478022,0.00485497,0.003568578,0.2143512],"category_scores_gemma":[0.006652201,0.001355754,0.002660852,0.01013397,0.0008727117,0.00253487,0.003144674,0.002811303,0.2874348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001779691,"about_ca_system_score_gemma":0.003006302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214514,"about_ca_topic_score_gemma":0.02635105,"domain_scores_codex":[0.9985293,0.0002352996,0.000122006,0.0005425159,0.0003267638,0.0002441343],"domain_scores_gemma":[0.9977162,0.0005955632,0.0002099489,0.0007411974,0.0003691759,0.0003679592],"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":[0.0000830505,0.00002673153,0.0002679433,0.0006798026,0.00004216721,0.00001714898,0.00001668686,0.0003381734,0.000126267,0.0004154995,0.9960674,0.001919033],"study_design_scores_gemma":[0.0004909094,0.00004818468,0.001361376,0.0003447692,0.00006879542,0.00006199982,0.00005826761,0.0009843163,0.000592178,0.002788095,0.9931555,0.00004559989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001197351,0.0001390613,0.00008144366,0.00005475263,0.00003563062,0.000009278384,0.997083,0.001480197,0.0009968703],"genre_scores_gemma":[0.0002934186,0.0001034411,0.0002213909,0.000053919,0.000008296582,0.00003467726,0.9983155,0.000280335,0.0006890915],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7856488,"threshold_uncertainty_score":0.7170761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02051297754466729,"score_gpt":0.2438304317825072,"score_spread":0.2233174542378399,"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."}}