{"id":"W4398889275","doi":"10.7910/dvn/v1rjpf/f10jeb","title":"ykc20170315_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":"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":["insufficient_payload"],"category_scores_codex":[0.001498101,0.003886501,0.00263821,0.005302272,0.001486481,0.005395417,0.005233832,0.004214057,0.3030449],"category_scores_gemma":[0.01012654,0.001288732,0.002067856,0.009747508,0.0009576172,0.003184263,0.004189827,0.002536267,0.3742779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002391329,"about_ca_system_score_gemma":0.003218399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03658492,"about_ca_topic_score_gemma":0.05213632,"domain_scores_codex":[0.9986579,0.0002664845,0.0001273199,0.0004319875,0.0002313254,0.0002849718],"domain_scores_gemma":[0.9965613,0.001058715,0.0002789498,0.0008364476,0.0008394279,0.0004251538],"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":[0.00003710551,0.000007816641,0.0001667126,0.0005766369,0.00002053911,0.000008000726,0.00001542529,0.0001162299,0.00004743319,0.0003380067,0.9980583,0.0006078349],"study_design_scores_gemma":[0.000358062,0.00001933441,0.001261169,0.0004428759,0.00003535081,0.00003039475,0.00007839465,0.0002736002,0.0002471922,0.001845142,0.9953679,0.00004054865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002599803,0.00004902983,0.00002703066,0.00006612841,0.00002659794,0.000004776321,0.9989333,0.0003627518,0.000504485],"genre_scores_gemma":[0.0001787522,0.00006003961,0.0001167403,0.00008093131,0.00001151012,0.00004716155,0.9986073,0.0001953741,0.0007020339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6969551,"threshold_uncertainty_score":0.9941218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602885695449848,"score_gpt":0.2579468460901262,"score_spread":0.2319179891356277,"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."}}