{"id":"W4398713014","doi":"10.7910/dvn/k0oyqf/lnbjgt","title":"tableA8.txt","year":2019,"lang":"it","type":"dataset","venue":"Harvard Dataverse","topic":"Inorganic Fluorides and Related Compounds","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","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":[],"category_scores_codex":[0.001009446,0.003581621,0.001757218,0.004162279,0.001016048,0.003985464,0.003289043,0.00228371,0.2476166],"category_scores_gemma":[0.006312707,0.0009200918,0.001455136,0.007970908,0.0005964609,0.002317108,0.002238939,0.002418371,0.2831482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653121,"about_ca_system_score_gemma":0.002271491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01751031,"about_ca_topic_score_gemma":0.02676398,"domain_scores_codex":[0.9990327,0.0001290103,0.000110994,0.0003435691,0.0002192407,0.0001644582],"domain_scores_gemma":[0.9977109,0.0007509518,0.0002205338,0.000582032,0.0004546197,0.0002809326],"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":[0.00003423627,0.00001212588,0.0001657187,0.0003509949,0.00001552844,0.000008436486,0.000009782987,0.0001349009,0.00007963801,0.000280232,0.997823,0.001085403],"study_design_scores_gemma":[0.0002149122,0.00001750979,0.001038878,0.0001431579,0.00002402267,0.00002320755,0.00003642675,0.0003308163,0.000394411,0.001490086,0.9962649,0.00002168593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004248802,0.0000351007,0.00003488788,0.00005472103,0.0000224634,0.000005133474,0.9984578,0.0005994992,0.0007478886],"genre_scores_gemma":[0.0002447493,0.00005443453,0.0001843865,0.00005742391,0.00001030781,0.00004074634,0.9984375,0.0001754375,0.00079507],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7523835,"threshold_uncertainty_score":0.8283599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265425983314486,"score_gpt":0.221464904044616,"score_spread":0.2088106442114711,"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."}}