{"id":"W7099067351","doi":"","title":"Taking Apart &amp;quot;Tickle Cove Pond&amp;quot;1","year":2016,"lang":"en","type":"article","venue":"","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Situated; Context (archaeology); Popularity; Vernacular; Interpretation (philosophy); Cove; Promulgation; Theme (computing)","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":[0.0002714479,0.0002939171,0.0002130388,0.0002709409,0.00596567,0.004120316,0.0004135536,0.001408606,0.1619042],"category_scores_gemma":[0.0007552195,0.0001531519,0.0001461791,0.0003193007,0.001707103,0.001455721,0.001641202,0.001957075,0.03745455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003221241,"about_ca_system_score_gemma":0.001992518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1695159,"about_ca_topic_score_gemma":0.5012347,"domain_scores_codex":[0.9996098,0.00004772162,0.000009479935,0.00008726586,0.0001170411,0.0001286993],"domain_scores_gemma":[0.9997149,0.00002577465,0.00001529254,0.00002038907,0.0001264679,0.00009725599],"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":[0.00004973823,0.00002161436,0.001347307,0.0001104651,0.000004358988,0.0003593873,0.00408164,0.00004413755,0.0008480352,0.02961458,0.9135447,0.04997404],"study_design_scores_gemma":[7.656259e-7,0.000003933221,0.00124176,0.00004811398,7.117557e-7,0.00003300679,0.0009600807,0.000006902703,0.00008969677,0.0001740374,0.9974369,0.000004179412],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008337925,0.005861368,0.0005134033,0.02745333,0.009461976,0.00004418287,0.0007405264,0.0001679577,0.9474193],"genre_scores_gemma":[0.01634058,0.000726647,0.0001285145,0.002067412,0.0002887854,0.00000863813,0.00009560183,0.00006869538,0.9802751],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1695159,"threshold_uncertainty_score":0.5416235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05967736429080184,"score_gpt":0.2170892789198582,"score_spread":0.1574119146290563,"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."}}