{"id":"W7007467934","doi":"","title":"沖縄県の離島・へき地における自然教育のための基礎資料の充実6：うるま市津堅島の植物相","year":2013,"lang":"en","type":"other","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flora (microbiology); Vegetation (pathology); Peninsula; Vascular plant; Quarter (Canadian coin)","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":[0.001307682,0.0006462233,0.000770621,0.01237319,0.000657367,0.002449977,0.0009795383,0.000490641,0.08177407],"category_scores_gemma":[0.004337334,0.000316202,0.000277828,0.01491721,0.0004296578,0.002207623,0.001507839,0.0006405199,0.05163789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124308,"about_ca_system_score_gemma":0.002269812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01709917,"about_ca_topic_score_gemma":0.02492335,"domain_scores_codex":[0.9993624,0.00006354053,0.0001737798,0.0001006061,0.0002303447,0.00006926969],"domain_scores_gemma":[0.9965262,0.001102961,0.0005035583,0.0004918742,0.00109508,0.0002803753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005047632,0.0002428372,0.03124059,0.005413973,0.00006317683,0.0007619327,0.001363767,0.0005879477,0.006165075,0.008670171,0.7331088,0.2118769],"study_design_scores_gemma":[0.00003769626,0.00002791518,0.05019507,0.0004818382,0.00007107862,0.0003761085,0.0008363432,0.0006946388,0.003670648,0.001210407,0.9423577,0.00004055905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008725754,0.000872115,0.002427797,0.0002253161,0.00005874129,0.000151317,0.9475246,0.001950716,0.0380636],"genre_scores_gemma":[0.01063101,0.001333115,0.004325908,0.00004374452,0.00003114282,0.0002352471,0.9684678,0.0003324571,0.01459951],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08177407,"threshold_uncertainty_score":0.2735615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685291648182772,"score_gpt":0.2597477979740994,"score_spread":0.2428948814922716,"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."}}