{"id":"W4398835156","doi":"10.7910/dvn/v1rjpf/uzlj23","title":"snk20160415_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"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":["insufficient_payload"],"category_scores_codex":[0.001591578,0.003598017,0.0025945,0.00531765,0.001378702,0.005138283,0.004997725,0.003901653,0.3013667],"category_scores_gemma":[0.01115284,0.001261389,0.002071892,0.009392426,0.0008854661,0.003199389,0.004027089,0.002429335,0.3471296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002325551,"about_ca_system_score_gemma":0.002977186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03085335,"about_ca_topic_score_gemma":0.04880057,"domain_scores_codex":[0.9985664,0.0002830276,0.0001538266,0.0004580716,0.0002602578,0.0002784774],"domain_scores_gemma":[0.9962639,0.001257987,0.000317194,0.0008698924,0.000868152,0.0004228115],"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":[0.00003659668,0.000007620492,0.0002089302,0.0006047331,0.00002453498,0.000008490271,0.00001560251,0.0001239578,0.00004061568,0.0003627699,0.9978911,0.0006751334],"study_design_scores_gemma":[0.0003324155,0.00001972317,0.001439701,0.0004891262,0.00004221102,0.00003695941,0.00007600671,0.0002986787,0.0002364864,0.002307875,0.9946803,0.00004040434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002775869,0.0000487354,0.00003011423,0.00006789291,0.00002711323,0.000004820638,0.9988992,0.0003542161,0.0005400918],"genre_scores_gemma":[0.0002077196,0.00006175861,0.0001257278,0.00008636789,0.00001354942,0.00005280268,0.9984799,0.0002060445,0.0007662055],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6986333,"threshold_uncertainty_score":0.9965157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02483957251572318,"score_gpt":0.2549648595361587,"score_spread":0.2301252870204355,"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."}}