{"id":"W4398645186","doi":"10.7910/dvn/fmk6sq/xcubkt","title":"249770_3S1(Colour_1).tif","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"Solid-state spectroscopy and crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Art; Geography; Physics","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":[0.001401653,0.003677061,0.003532155,0.00680052,0.001824617,0.006317857,0.005672304,0.003786132,0.5712772],"category_scores_gemma":[0.009626739,0.001563355,0.001999917,0.01424888,0.00099845,0.003849398,0.00468838,0.002698145,0.5089393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532773,"about_ca_system_score_gemma":0.003340866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02924347,"about_ca_topic_score_gemma":0.03652113,"domain_scores_codex":[0.9986474,0.0001974117,0.0001402048,0.0004046535,0.0002564896,0.0003538149],"domain_scores_gemma":[0.9964258,0.001307767,0.0003511826,0.0006763821,0.0008149145,0.0004238113],"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":[0.00005654027,0.00001115263,0.0001844981,0.001325248,0.0000249355,0.00001211919,0.00002424343,0.0001254609,0.00008586251,0.0005612181,0.9965121,0.001076606],"study_design_scores_gemma":[0.0003120051,0.00001395808,0.001089828,0.0006171531,0.00003206813,0.00002391739,0.00006252022,0.000122133,0.0002812044,0.001764084,0.9956388,0.00004236636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001636856,0.00004237151,0.00002222859,0.00003230988,0.00001329463,0.000004134059,0.9989097,0.0003162302,0.0006433515],"genre_scores_gemma":[0.000298184,0.0001183988,0.0001671804,0.00008193377,0.00001254133,0.00008142363,0.9975568,0.0004281159,0.001255438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4287228,"threshold_uncertainty_score":0.611521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633958011847482,"score_gpt":0.2525091872328315,"score_spread":0.2361696071143567,"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."}}