{"id":"W6927758468","doi":"10.3389/fmicb.2018.00438.s003","title":"Data_Sheet_3.ZIP","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Differential Geometry Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Niche; Ecological niche; Habitat; Taxon; Niche differentiation; Nutrient","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00231505,0.001428852,0.001346125,0.003163145,0.001296128,0.004011141,0.002956205,0.001691164,0.8211355],"category_scores_gemma":[0.01078605,0.001418313,0.001061121,0.004528032,0.0005159363,0.004566528,0.003234894,0.001711899,0.75977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001816922,"about_ca_system_score_gemma":0.002183376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01494206,"about_ca_topic_score_gemma":0.009982415,"domain_scores_codex":[0.9990456,0.0001349314,0.0001029721,0.0001997596,0.0003415498,0.0001751527],"domain_scores_gemma":[0.99274,0.002447736,0.0004239412,0.001342076,0.002359833,0.0006865666],"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":[0.00006596458,0.00001696026,0.0003449234,0.0002143607,0.000006264087,0.00001396087,0.00003325041,0.00009444576,0.00008512088,0.0006038525,0.9894426,0.009078318],"study_design_scores_gemma":[0.0001174804,0.00001240452,0.001371528,0.0001424332,0.000007195129,0.00002433967,0.00004456138,0.0002603829,0.0003900145,0.001787042,0.9958141,0.000028384],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000276769,0.00003886177,0.001927053,0.0003802439,0.00009864558,0.0001627427,0.9230152,0.02597066,0.04812975],"genre_scores_gemma":[0.003489901,0.0001786787,0.005340425,0.0009314171,0.0001030823,0.001147603,0.8842492,0.03259309,0.07196663],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1788645,"threshold_uncertainty_score":0.2551284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04973096898221285,"score_gpt":0.3443169015417592,"score_spread":0.2945859325595463,"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."}}