{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000119914,0.0006859062,0.0007035327,0.00003921562,0.0001499109,0.0001123646,0.001255749,0.000467468,0.1304871],"category_scores_gemma":[0.0003487721,0.0006912185,0.0002421823,0.00009098021,0.0001654606,0.0001478557,0.001013021,0.0009131538,0.1450485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371622,"about_ca_system_score_gemma":0.0001624388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006452638,"about_ca_topic_score_gemma":0.000009726434,"domain_scores_codex":[0.9972971,0.00001275384,0.0004757884,0.001140869,0.0005025845,0.0005708957],"domain_scores_gemma":[0.9958237,0.00009276704,0.0003293103,0.003495485,0.0000947692,0.0001639527],"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":[0.00006414078,0.0001255624,0.00001570739,0.002972706,0.0002653707,0.0001317117,0.0000114238,0.000001154241,0.006954196,6.15873e-7,0.9893516,0.0001058331],"study_design_scores_gemma":[0.0004751622,0.000006508697,0.000001386112,0.0002580129,0.0002475952,0.00006075253,0.00007807295,0.000001859686,0.02680939,0.0000049055,0.97131,0.0007463969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001342626,0.00001217171,3.94037e-7,0.000008744796,0.0004816903,0.00009959197,0.9833685,0.00009000699,0.01580469],"genre_scores_gemma":[0.00005196461,0.0004795434,0.00003231466,0.0001059502,0.001319734,0.00004116714,0.96729,0.0000379971,0.03064129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01985519,"threshold_uncertainty_score":0.9995539,"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."}}