{"id":"W6929599407","doi":"10.5063/g44nqz","title":"Designcraft for experiments: Backyard Bioblitz","year":2020,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Urinary Bladder and Prostate Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Replicate; Set (abstract data type); Citation; Focus (optics); Work (physics); Data set","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02195149,0.002134479,0.001469409,0.002035252,0.000983865,0.002647545,0.003254707,0.00191497,0.2275424],"category_scores_gemma":[0.05154253,0.002340255,0.002295938,0.001295562,0.001227651,0.002650141,0.003042881,0.005042004,0.08116657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501501,"about_ca_system_score_gemma":0.004564909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001184898,"about_ca_topic_score_gemma":0.003029314,"domain_scores_codex":[0.9922758,0.003220259,0.0008010554,0.001615215,0.001718818,0.0003688617],"domain_scores_gemma":[0.9576195,0.02713503,0.001383799,0.009482806,0.003444646,0.0009341114],"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":[0.001077192,0.0004354008,0.00173354,0.002945319,0.0001659172,0.0001727359,0.0006047542,0.001404054,0.006121408,0.008877171,0.8186325,0.1578299],"study_design_scores_gemma":[0.001154681,0.0002342303,0.001757097,0.0007267597,0.00007630695,0.0001085145,0.00008280356,0.003251845,0.005472261,0.0191597,0.9678817,0.00009412214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.004835962,0.000997653,0.5633839,0.004224285,0.004541376,0.02293211,0.1564986,0.195234,0.04735213],"genre_scores_gemma":[0.009984946,0.0005887066,0.7927654,0.00386873,0.0004475909,0.07877792,0.03273198,0.048277,0.03255769],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2275424,"threshold_uncertainty_score":0.7612052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08893471791314508,"score_gpt":0.3859161324154711,"score_spread":0.296981414502326,"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."}}