{"id":"W4240154053","doi":"10.14322/publons.r800496","title":"10.14322/publons.r800496","year":2000,"lang":"en","type":"dataset","venue":"Time to knit","topic":"Radioactivity and Radon Measurements","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heavy metals; TRACE (psycholinguistics); Environmental chemistry; Environmental science; Radiochemistry; Chemistry; Philosophy","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":[],"category_scores_codex":[0.001202817,0.002167865,0.001234281,0.003590833,0.0005939835,0.002993227,0.002526704,0.001917857,0.2944905],"category_scores_gemma":[0.004982953,0.001157278,0.001067519,0.00777007,0.0004396732,0.001380497,0.002013862,0.001118322,0.5008142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001368572,"about_ca_system_score_gemma":0.001809771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03209483,"about_ca_topic_score_gemma":0.04243719,"domain_scores_codex":[0.999073,0.0001278944,0.0001103117,0.0002941912,0.0002046628,0.0001900161],"domain_scores_gemma":[0.998007,0.000415066,0.0002900353,0.0005481578,0.0004739786,0.000265708],"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":[0.00006115114,0.00002243983,0.001040501,0.0003005653,0.00002257178,0.00001175143,0.00001644836,0.0002375449,0.00005446489,0.0002638153,0.9948747,0.003094143],"study_design_scores_gemma":[0.0002396855,0.00003165334,0.005040044,0.0002133279,0.00002576063,0.00003330921,0.00006575823,0.0004307308,0.0003222316,0.0006661073,0.9929038,0.0000275974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007861022,0.00003082551,0.00005293155,0.00004145431,0.00001684993,0.000005521325,0.9983658,0.0004589905,0.0009490544],"genre_scores_gemma":[0.0003584017,0.00004456529,0.0001201795,0.0000411311,0.00001107428,0.00003335196,0.9968688,0.0001482555,0.002374384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7055095,"threshold_uncertainty_score":0.9851689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04636682487140401,"score_gpt":0.3344389288266107,"score_spread":0.2880721039552067,"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."}}