{"id":"W6964049065","doi":"10.22008/fk2/cs5lka/52kbdg","title":"remraw.001","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001490391,0.003127944,0.002415845,0.004785154,0.0009201865,0.004194583,0.004253908,0.002582781,0.2402123],"category_scores_gemma":[0.006830913,0.001689124,0.001576375,0.01001546,0.0005958927,0.002590686,0.00321148,0.002066897,0.3192779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123932,"about_ca_system_score_gemma":0.002096992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496871,"about_ca_topic_score_gemma":0.03730173,"domain_scores_codex":[0.9987081,0.0002678581,0.0001262056,0.0004599946,0.0002141171,0.000223778],"domain_scores_gemma":[0.997946,0.0005832271,0.0002250248,0.0006396286,0.0003298837,0.000276163],"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":[0.00003647634,0.00001061849,0.0003118641,0.0003976639,0.00002290492,0.000007832214,0.00002098113,0.0001712196,0.00003081389,0.0003614554,0.997373,0.001255163],"study_design_scores_gemma":[0.0003041788,0.00001594776,0.001575948,0.0002934292,0.00002494227,0.00002934428,0.00006623742,0.0003228337,0.0001290604,0.001405903,0.995805,0.00002699437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003561364,0.0000357996,0.00003537807,0.00002833108,0.00001289494,0.000003739119,0.9989933,0.00039034,0.0004645515],"genre_scores_gemma":[0.000259456,0.00005199467,0.0002249191,0.00004357072,0.00001021149,0.00005877531,0.9982613,0.0002945839,0.0007953349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7597877,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03463257415121361,"score_gpt":0.2234980657010468,"score_spread":0.1888654915498332,"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."}}