{"id":"W3120212519","doi":"10.3389/frym.2020.548525","title":"Learning More About Earthworms With Citizen Science","year":2021,"lang":"en","type":"article","venue":"Frontiers for Young Minds","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Citizen science; Earthworm; Variety (cybernetics); Natural (archaeology); Engineering ethics; Sociology; Computer science; Ecology; Engineering; Geography; Biology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.007230494,0.0005310316,0.0005849341,0.001386115,0.003503868,0.00657383,0.0009140265,0.003399243,0.02039094],"category_scores_gemma":[0.01755447,0.0003736317,0.0008902993,0.001185576,0.004735753,0.01371249,0.007600714,0.005348357,0.005551378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00178155,"about_ca_system_score_gemma":0.002267488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002475825,"about_ca_topic_score_gemma":0.008453205,"domain_scores_codex":[0.9965581,0.002032586,0.00009792419,0.000385481,0.0005506668,0.0003752078],"domain_scores_gemma":[0.9916738,0.004055947,0.0005978242,0.0008680912,0.001088612,0.00171576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001215314,0.0005549663,0.04419468,0.001685672,0.0001266872,0.0009394347,0.06662598,0.0005152208,0.003706697,0.05453324,0.3332754,0.4937204],"study_design_scores_gemma":[0.00002540662,0.0001249313,0.007750737,0.001286534,0.00004065721,0.0004159242,0.03132694,0.0002386441,0.0008995709,0.06837522,0.8894558,0.0000595277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08967487,0.02491571,0.06875829,0.5715832,0.007824772,0.0005103961,0.002356663,0.001720133,0.232656],"genre_scores_gemma":[0.4896822,0.05772897,0.1598035,0.1893964,0.004980491,0.0009289845,0.002806725,0.0009505808,0.09372218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02039094,"threshold_uncertainty_score":0.06821454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008972740256735133,"score_gpt":0.2262650210233241,"score_spread":0.217292280766589,"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."}}