{"id":"W7097700723","doi":"","title":"Deerin BabbBrott,!&amp;quot;##&amp;quot;$%&amp;amp;#&amp;apos;((#)*+&amp;quot;#(&amp;quot;,)-+.&amp;apos;)!&amp;quot;.&amp;quot;/&amp;apos;0&amp;apos;.()123$&amp;apos; Ronald O’Dor, Census of Marine Life and Dalhousie University","year":2009,"lang":"en","type":"article","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Marine life; Government (linguistics); Population; Marine research","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005599329,0.0004350979,0.0003676411,0.0006609931,0.002869649,0.001876488,0.0005372533,0.001050623,0.6178594],"category_scores_gemma":[0.001926746,0.0003265444,0.0001427447,0.0004669907,0.0005891038,0.001369307,0.001361508,0.001395467,0.3064264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158137,"about_ca_system_score_gemma":0.001263241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01432592,"about_ca_topic_score_gemma":0.08845411,"domain_scores_codex":[0.999739,0.00002831243,0.00001235197,0.00007926238,0.0001094241,0.00003157564],"domain_scores_gemma":[0.998904,0.0001060553,0.00003889192,0.00003864808,0.0003258061,0.0005865125],"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":[0.0000203151,0.00001222741,0.0002954003,0.000023706,6.545705e-7,0.00006165427,0.0001230313,0.00001322494,0.0003835568,0.00131737,0.9550187,0.04273019],"study_design_scores_gemma":[0.000001602296,0.000004777366,0.0005500572,0.00001195657,3.661608e-7,0.00004696933,0.0001877424,0.00001795976,0.0001076737,0.0001748019,0.9988936,0.000002537354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004107376,0.008038527,0.00318117,0.09698634,0.01517251,0.0001442129,0.002939039,0.00221386,0.8672169],"genre_scores_gemma":[0.002582582,0.0009070733,0.0006327973,0.00158708,0.0002342753,0.00001096917,0.0002247675,0.000220102,0.9936004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3821406,"threshold_uncertainty_score":0.5450771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1363416846805318,"score_gpt":0.3315532908065331,"score_spread":0.1952116061260013,"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."}}