{"id":"W6907665497","doi":"10.22008/fk2/wp1tr3/dnefc3","title":"w50ac4.rtl","year":2021,"lang":"en","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Educational Strategies and Epistemologies","field":"Psychology","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":[0.001198122,0.00272627,0.00220668,0.004829314,0.0009831791,0.003857452,0.004095424,0.003204711,0.1963815],"category_scores_gemma":[0.007499333,0.001146046,0.001803607,0.009916024,0.0005838002,0.001657231,0.002320018,0.002196447,0.2636093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001369594,"about_ca_system_score_gemma":0.002444308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04779117,"about_ca_topic_score_gemma":0.06857164,"domain_scores_codex":[0.9988765,0.0002067055,0.000125753,0.0003376518,0.0002076986,0.0002456923],"domain_scores_gemma":[0.9974298,0.0008364359,0.000261568,0.0006469761,0.0005264636,0.0002987588],"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":[0.00002943536,0.00001160728,0.0003431146,0.000473625,0.00002108077,0.000008465387,0.00001438298,0.0001713236,0.00002945322,0.0002338817,0.9976992,0.0009644882],"study_design_scores_gemma":[0.0004376689,0.00001869449,0.002722601,0.0004333622,0.00003906414,0.00002869929,0.000102354,0.0004473566,0.0001475342,0.001420942,0.9941691,0.0000326563],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003093699,0.00002373078,0.00002281638,0.00002672878,0.00001133731,0.000003669361,0.9994475,0.0001653075,0.0002678484],"genre_scores_gemma":[0.0001883362,0.00003642421,0.0001106543,0.00003133529,0.000006541858,0.00005216632,0.998964,0.00007383902,0.0005367617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8036185,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07210928346367677,"score_gpt":0.3373630918677514,"score_spread":0.2652538084040746,"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."}}