{"id":"W4398847290","doi":"10.7910/dvn/zbrtjh/gk5kqy","title":"fig2.sh","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Nanocluster Synthesis and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Geology; 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":[],"category_scores_codex":[0.0008516756,0.003982565,0.002096892,0.005014674,0.001142365,0.004348462,0.003763979,0.003206376,0.2049725],"category_scores_gemma":[0.005647358,0.0008585042,0.001897988,0.007847777,0.0006703457,0.002180659,0.002927538,0.001911898,0.2601929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527779,"about_ca_system_score_gemma":0.002213786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01715421,"about_ca_topic_score_gemma":0.02961214,"domain_scores_codex":[0.9991444,0.0001309372,0.00007572508,0.0003397356,0.0001531287,0.0001559425],"domain_scores_gemma":[0.998431,0.0005165231,0.0001524211,0.0004193433,0.0002753414,0.0002052828],"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":[0.00006861037,0.00001514866,0.000387307,0.001000221,0.00004238705,0.00001935643,0.0000192916,0.0002454196,0.0001104289,0.0003377892,0.9960281,0.001726048],"study_design_scores_gemma":[0.000300332,0.00003139467,0.001715275,0.0004614615,0.00006065701,0.00006092148,0.00006788489,0.0005141321,0.0004376231,0.001949682,0.9943686,0.00003204531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008264667,0.0001405513,0.00004603179,0.00006276775,0.00002917633,0.000007022294,0.9980813,0.0007396709,0.0008107871],"genre_scores_gemma":[0.0004220522,0.0001216469,0.000188628,0.00008209336,0.00001275996,0.00005051074,0.9980045,0.0001800735,0.0009377341],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7950275,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338431239577978,"score_gpt":0.2554488261311197,"score_spread":0.23206451373534,"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."}}