{"id":"W6945916821","doi":"10.26023/wxw9-qgjr-jx0k","title":"UAH Precipitation Imaging Package (PIP) Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Snowflake; Image processing; Optical imaging","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005813249,0.001289118,0.0009323414,0.002681409,0.0004781183,0.001295834,0.002147927,0.0009242477,0.04021867],"category_scores_gemma":[0.002394904,0.0004995003,0.0007063827,0.005288511,0.0002609673,0.0009632807,0.001347072,0.001082904,0.04695361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018832,"about_ca_system_score_gemma":0.001690094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05632158,"about_ca_topic_score_gemma":0.09716807,"domain_scores_codex":[0.9995412,0.00005886217,0.00005755975,0.0001313501,0.0001249788,0.00008607612],"domain_scores_gemma":[0.9989522,0.0001755169,0.0001401988,0.0002134232,0.0003985821,0.0001201056],"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":[0.00002638401,0.0000157232,0.001224912,0.0002874992,0.00002219683,0.00001479873,0.00002508272,0.0003186445,0.00008139599,0.0003116156,0.9952306,0.002441021],"study_design_scores_gemma":[0.0001230096,0.000008794536,0.009659241,0.0001501075,0.00002186513,0.00003548304,0.00009574155,0.0008242146,0.0003529024,0.000941693,0.9877583,0.00002861439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001630941,0.00002501115,0.00008989773,0.00002572371,0.0000122384,0.000007489989,0.9989359,0.0002650929,0.000475562],"genre_scores_gemma":[0.0004691134,0.00002746246,0.0003224663,0.00001688148,0.000004957672,0.00005179253,0.998556,0.00006966258,0.0004816235],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05632158,"threshold_uncertainty_score":0.1345449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06716535991817381,"score_gpt":0.2897632367688404,"score_spread":0.2225978768506666,"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."}}