{"id":"W1772844864","doi":"10.5376/ijms.2014.04.66","title":"Spatial and Temporal Profiling of Macroalgal Groups on Rock Shore Platform: A Case Study from Dwarka","year":2014,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Shore; Oceanography; Rocky shore; Geography; Geology; Physical geography; Remote sensing; Ecology; Environmental science; Computer science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0000997559,0.00016496,0.0001771654,0.0009695608,0.0007930762,0.0005425835,0.0004286099,0.000298717,0.0006233455],"category_scores_gemma":[0.0002056567,0.0001673092,0.000235586,0.001537449,0.0004056061,0.0002225345,0.000542269,0.0002493504,0.0001764316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005001256,"about_ca_system_score_gemma":0.0005777274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06180717,"about_ca_topic_score_gemma":0.2220152,"domain_scores_codex":[0.9998434,0.00002219352,0.000009806854,0.00004164406,0.00002929411,0.00005365215],"domain_scores_gemma":[0.9997571,0.00003504908,0.00008120397,0.00001851542,0.00006177124,0.00004647599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009955067,0.0001213786,0.9394498,0.0001877152,0.00005432359,0.01415654,0.01557208,0.0005039455,0.01230503,0.0002337912,0.0007601792,0.01655563],"study_design_scores_gemma":[0.000001161671,0.00008273467,0.9794068,0.0000178397,0.00002419672,0.001485943,0.0168267,0.000283617,0.0005843914,0.00002412614,0.001251876,0.00001085469],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989894,0.00005452085,0.00008373105,0.00002461775,0.000001730583,0.00001237097,0.0002041796,0.000004516136,0.0006247998],"genre_scores_gemma":[0.9982055,0.0001457118,0.0006086761,0.00001975679,0.000003324167,0.00001228738,0.0002793653,0.000002525697,0.0007227418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06180717,"threshold_uncertainty_score":0.1228949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594104907125474,"score_gpt":0.2456040266810213,"score_spread":0.2296629776097665,"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."}}