{"id":"W6984833142","doi":"","title":"Fine Land","year":2014,"lang":"en","type":"article","venue":"Digital Commons - Colby (Colby College)","topic":"Ecology, Conservation, and Geographical Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Swamp; Puppy; Quarter (Canadian coin); Shot (pellet); Arson; Possession (linguistics); Parade; Population; Cover (algebra)","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":["insufficient_payload"],"category_scores_codex":[0.0002587111,0.0002630151,0.0003404066,0.0000625223,0.0005689668,0.0001284245,0.000427288,0.0001296337,0.0009927734],"category_scores_gemma":[0.0002698556,0.0002392046,0.000135648,0.0007533111,0.0005364215,0.0003918291,0.000455809,0.0001934944,0.001123412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008874781,"about_ca_system_score_gemma":0.00001589694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003393693,"about_ca_topic_score_gemma":0.01903548,"domain_scores_codex":[0.9982953,0.00007650836,0.000357954,0.0004442995,0.0003204666,0.0005054532],"domain_scores_gemma":[0.9987186,0.0005107784,0.0001031789,0.0004230387,0.00003346795,0.0002109439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003506412,0.0002095954,0.9452825,0.000006654706,0.00003183728,0.000007284979,0.0000457069,0.00006889385,0.00001925633,0.002414478,0.04896134,0.002917427],"study_design_scores_gemma":[0.0005672343,0.0002195349,0.5615747,0.000007875961,0.00001501303,0.000006066606,0.0000286568,0.0004086967,0.00002271332,0.004390084,0.4324881,0.0002713449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7494618,0.00005046211,0.0001300293,0.002885457,0.0001950087,0.0004214341,0.0001502655,0.0001513081,0.2465542],"genre_scores_gemma":[0.9930158,0.000006490078,0.0001189147,0.0007285276,0.00006942236,0.00008927414,0.00003719462,0.00002185475,0.005912525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3837078,"threshold_uncertainty_score":0.9999204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00959861856103535,"score_gpt":0.2023204790142563,"score_spread":0.192721860453221,"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."}}