{"id":"W2766199556","doi":"10.6084/m9.figshare.5497060.v1","title":"Collecting dogwhelks (Nucella lapillus) for Field Experiments","year":2017,"lang":"en","type":"article","venue":"Figshare","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucella; Field (mathematics); Imposex; Geography; Biology; Zoology; Gastropoda; Mathematics","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":[0.000636847,0.0004430168,0.0002532609,0.001731653,0.001994402,0.0004680322,0.0006206249,0.0003669649,0.02136554],"category_scores_gemma":[0.0006642998,0.0002286533,0.0002455909,0.001315764,0.0005141341,0.0003320147,0.0007139964,0.0004925275,0.006633357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001766106,"about_ca_system_score_gemma":0.002178959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3515515,"about_ca_topic_score_gemma":0.8481297,"domain_scores_codex":[0.9996454,0.00002787518,0.00001862042,0.00009756692,0.0001294393,0.00008115541],"domain_scores_gemma":[0.9991806,0.00009061395,0.00008752221,0.00009539721,0.0003140882,0.0002317274],"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":[0.001123623,0.0002786431,0.2352812,0.001956848,0.0001178246,0.00282784,0.009640797,0.0005253931,0.1379519,0.0008325834,0.3418773,0.2675861],"study_design_scores_gemma":[0.00003284561,0.0002633349,0.7065504,0.0005605444,0.00005135299,0.0004654692,0.003281904,0.0001475591,0.006805892,0.0001179452,0.2816869,0.00003594725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.4222853,0.003920941,0.01158831,0.002844717,0.001147232,0.00558523,0.2911003,0.002505636,0.2590223],"genre_scores_gemma":[0.631453,0.004932551,0.0817169,0.002543165,0.000362061,0.003218265,0.1369819,0.00086036,0.1379318],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3515515,"threshold_uncertainty_score":0.6990106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088581062928574,"score_gpt":0.3325475680895834,"score_spread":0.2236894617967261,"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."}}