{"id":"W4393796975","doi":"10.5281/zenodo.10286609","title":"Rocher's Pond","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Therapeutic Uses of Natural Elements","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001094125,0.0003294279,0.0003888371,0.0003821794,0.003949699,0.0002451238,0.002492805,0.0005060302,0.1486039],"category_scores_gemma":[0.0008588341,0.0003242914,0.0000994666,0.0004672067,0.0001088206,0.0002074876,0.003118394,0.002148043,0.24237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005439273,"about_ca_system_score_gemma":0.00002314001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008803127,"about_ca_topic_score_gemma":0.000001940606,"domain_scores_codex":[0.9959199,0.001250884,0.0005815987,0.0006754454,0.0007156102,0.00085649],"domain_scores_gemma":[0.9970319,0.0001206339,0.0004478402,0.001333405,0.0008133659,0.0002529134],"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":[0.00008936175,0.00008639316,5.683169e-7,0.0003838579,0.0001160786,0.000009647576,0.0002601359,0.000001641708,0.0001297454,0.00008170129,0.9915186,0.007322328],"study_design_scores_gemma":[0.0008818265,0.0002024593,0.0000914203,0.0002001376,0.00005723569,0.00001429018,0.000282658,0.000006901661,0.000004954137,0.00005859098,0.9978787,0.0003208788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001388701,0.0002203167,0.00003278575,0.0009084801,0.0009696005,0.001546045,0.9734068,0.0005437056,0.02223342],"genre_scores_gemma":[0.0003186226,0.0003237101,0.00004367015,0.001520716,0.0005891863,1.058569e-7,0.9878183,0.001985956,0.007399756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09376605,"threshold_uncertainty_score":0.9999209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1275417830382714,"score_gpt":0.4009005181311602,"score_spread":0.2733587350928888,"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."}}