{"id":"W4233597998","doi":"10.14322/publons.r2307690","title":"10.14322/publons.r2307690","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Contamination; Environmental science; Heavy metals; Food science; Business; Environmental chemistry; Chemistry; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001187496,0.003663947,0.00175515,0.004532167,0.0008352427,0.003518547,0.00376779,0.002891845,0.3685431],"category_scores_gemma":[0.007852508,0.00154858,0.001681921,0.008726406,0.0005536727,0.002201211,0.002727448,0.001390382,0.5704267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533146,"about_ca_system_score_gemma":0.002363508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02576782,"about_ca_topic_score_gemma":0.03709952,"domain_scores_codex":[0.9988802,0.0001669007,0.0001378211,0.0004025882,0.0002128866,0.0001996426],"domain_scores_gemma":[0.9973062,0.0007086819,0.0002915978,0.0007632276,0.0006010792,0.0003291422],"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":[0.00005605561,0.00001224671,0.0004421529,0.0005614055,0.00002945667,0.00001163301,0.00001605527,0.0002426727,0.00007733655,0.0002513473,0.9961397,0.002160088],"study_design_scores_gemma":[0.0003451022,0.00002536453,0.002215896,0.0002354513,0.00003872313,0.00003076293,0.00005615284,0.0005040444,0.0003877362,0.0011627,0.9949567,0.00004136977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004339288,0.00003918818,0.00006639404,0.00004284662,0.00001896758,0.000005537305,0.9978778,0.001215612,0.0006902452],"genre_scores_gemma":[0.0002628933,0.00004652604,0.0002004025,0.00004878213,0.000007582914,0.00004421617,0.997745,0.0004156406,0.001228937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6314569,"threshold_uncertainty_score":0.9006966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005269191328404321,"score_gpt":0.1810852085205279,"score_spread":0.1758160171921236,"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."}}