{"id":"W6939725505","doi":"10.6073/pasta/f98f613f7ed47735c27a2809a2ce4c73","title":"Kellogg Biological Station site, station Ottawa County, MI (FIPS 26139), study of county area in units of squareKilometers on a yearly timescale","year":2014,"lang":"en","type":"dataset","venue":"Environmental Data Initiative","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydrology (agriculture); Weather station; Satellite; Climate change","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003797487,0.0002787221,0.0004300724,0.00007811432,0.00008455104,0.00002340423,0.0005230473,0.0002111211,0.003770925],"category_scores_gemma":[0.0002236062,0.000141156,0.0000407436,0.0002465579,0.00005955154,0.0002483184,0.0002210565,0.0003554506,0.0002434839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008060635,"about_ca_system_score_gemma":0.00001186358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005502287,"about_ca_topic_score_gemma":0.003431704,"domain_scores_codex":[0.9977539,0.0004791338,0.0005921694,0.0005313549,0.0004374162,0.0002059805],"domain_scores_gemma":[0.9966677,0.002400832,0.0005817483,0.000264507,0.00002175202,0.00006346974],"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":[0.0003255753,0.001651469,0.02728732,0.00002262569,0.00008037112,0.00001650806,0.000327599,0.00005496789,0.002887445,0.000004644228,0.9664976,0.0008438743],"study_design_scores_gemma":[0.001025219,0.01250235,0.2988613,0.000498385,0.0002299805,0.0000107586,0.009080876,0.0004533509,0.0005406896,0.00010783,0.675534,0.001155278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4025145,0.00002316412,0.000001533324,0.00001075423,0.00008308153,0.0003708662,0.5969253,0.000004868115,0.00006585986],"genre_scores_gemma":[0.2949842,0.0003292112,0.00001126419,0.00007978122,0.00003845244,0.00002042146,0.7045274,0.000001552418,0.000007703349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2909636,"threshold_uncertainty_score":0.9971398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05671023331010629,"score_gpt":0.2476506778375276,"score_spread":0.1909404445274213,"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."}}