{"id":"W6906994333","doi":"10.18419/darus-2727/7","title":"in situ XRPD.zip","year":2023,"lang":"en","type":"dataset","venue":"Universitätsbibliothek Stuttgart","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"In situ; Process (computing); Work (physics); Identification (biology)","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","bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics","insufficient_payload"],"category_scores_codex":[0.0009004677,0.001043804,0.001199301,0.03080105,0.0002449764,0.0002611954,0.002701611,0.0009535152,0.00229272],"category_scores_gemma":[0.0002309378,0.001216262,0.000372153,0.02265192,0.0003447997,0.001883332,0.001418791,0.001663274,0.3033822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185464,"about_ca_system_score_gemma":0.0005666983,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005660307,"about_ca_topic_score_gemma":0.01888734,"domain_scores_codex":[0.9945541,0.0003673956,0.0006495225,0.001551085,0.001355425,0.001522465],"domain_scores_gemma":[0.9961998,0.0004481343,0.0004635993,0.002301905,0.0001894178,0.0003971625],"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":[0.000156928,0.0002824451,0.0000291687,0.0001444323,0.0002437485,0.003834435,0.00009942479,0.00003609738,0.0001515573,0.0001412031,0.9948616,0.00001896571],"study_design_scores_gemma":[0.001864935,0.0001103863,0.0002710227,0.0002693637,0.0002394904,0.00003142053,0.0003893857,0.000006200283,0.00003535914,0.0001709625,0.9954068,0.001204682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001354071,0.0001498316,0.000004110641,0.0003384764,0.001607305,0.0008118278,0.9882796,0.0005802811,0.00809315],"genre_scores_gemma":[0.0000165588,0.001160318,0.00005517155,0.0005681791,0.0004715101,0.00001540182,0.9796151,0.0002859285,0.01781183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3010894,"threshold_uncertainty_score":0.9990287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02095276211559798,"score_gpt":0.2744663438142785,"score_spread":0.2535135816986805,"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."}}